Add files using upload-large-folder tool

wandb/run-20260106_143630-otuxsoaq/files/config.yaml

@@ -0,0 +1,962 @@
+_wandb:
+    value:
+        cli_version: 0.23.0
+        e:
+            aktgp0jpp5h0kvryiywss3hoe795cn9q:
+                args:
+                    - --node-ip-address=10.119.21.250
+                    - --node-manager-port=32991
+                    - --object-store-name=/tmp/ray/session_2026-01-06_14-34-31_358990_482749/sockets/plasma_store
+                    - --raylet-name=/tmp/ray/session_2026-01-06_14-34-31_358990_482749/sockets/raylet
+                    - --redis-address=None
+                    - --metrics-agent-port=59867
+                    - --logging-rotate-bytes=536870912
+                    - --logging-rotate-backup-count=5
+                    - --runtime-env-agent-port=36730
+                    - --gcs-address=10.119.21.250:49891
+                    - --session-name=session_2026-01-06_14-34-31_358990_482749
+                    - --temp-dir=/tmp/ray
+                    - --webui=127.0.0.1:8265
+                    - --cluster-id=7f65ed57b9de114af5d7e7c4cd7f03bb5cef21ae5f5739bb03543d61
+                    - --startup-token=112
+                    - --worker-launch-time-ms=1767681284428
+                    - --node-id=babe569f7f5b7e51ef074227b1c71931aead17be6e713a0eb761c43d
+                    - --runtime-env-hash=-839022692
+                cpu_count: 64
+                cpu_count_logical: 128
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "5153960755200"
+                        used: "348643328"
+                email: haoyu-wa22@mails.tsinghua.edu.cn
+                executable: /root/local/miniconda3/envs/ragen/bin/python
+                git:
+                    commit: 8d73639b99b38265453f898b8d6af7d4af50d56e
+                    remote: https://github.com/mll-lab-nu/RAGEN.git
+                gpu: NVIDIA H100 80GB HBM3
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-440f8d03-dc48-3114-8fc0-a26d12087053
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-9b5c5610-e6ac-4cb1-072c-5e36acc62989
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-41bbccb0-8306-5d0b-7759-7651400074c7
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-89257553-fe8d-b14b-76dc-7785bb1b1123
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-72f3a558-f859-c69a-3372-9a4affa39bc2
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-9e9c0d44-3289-ee01-598f-8db8d8b229c9
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-54030121-41d5-db29-1f91-7cc6fd1d192f
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-fd81d1da-3dff-56f1-642c-2d2aaf70f6d5
+                host: pt-a70f673da55546deb67ad61083acedf4-worker-0
+                memory:
+                    total: "2163639439360"
+                os: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35
+                program: /root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py
+                python: CPython 3.10.19
+                root: /mnt/general/wanghy/RAGEN
+                startedAt: "2026-01-06T06:36:30.396745Z"
+                writerId: aktgp0jpp5h0kvryiywss3hoe795cn9q
+        m: []
+        python_version: 3.10.19
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
+                - 95
+                - 97
+                - 98
+                - 105
+            "2":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
+                - 95
+                - 97
+                - 98
+                - 105
+            "3":
+                - 2
+                - 13
+                - 16
+                - 61
+            "4": 3.10.19
+            "5": 0.23.0
+            "6": 4.57.3
+            "12": 0.23.0
+            "13": linux-x86_64
+actor_rollout_ref:
+    value:
+        actor:
+            _target_: verl.workers.config.FSDPActorConfig
+            checkpoint:
+                _target_: verl.trainer.config.CheckpointConfig
+                async_save: false
+                load_contents:
+                    - model
+                    - optimizer
+                    - extra
+                save_contents:
+                    - model
+                    - optimizer
+                    - extra
+            clip_ratio: 0.2
+            clip_ratio_c: 3
+            clip_ratio_high: 0.28
+            clip_ratio_low: 0.2
+            entropy_checkpointing: false
+            entropy_coeff: 0.001
+            entropy_from_logits_with_chunking: false
+            freeze_vision_tower: false
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            grad_clip: 1
+            grpo_advantage_length_weight: false
+            kl_loss_coef: 0
+            kl_loss_type: kl
+            loss_agg_mode: token-mean
+            optim:
+                _target_: verl.workers.config.FSDPOptimizerConfig
+                betas:
+                    - 0.9
+                    - 0.999
+                clip_grad: 1
+                lr: 1e-06
+                lr_warmup_steps: -1
+                lr_warmup_steps_ratio: 0
+                min_lr_ratio: 0
+                num_cycles: 0.5
+                total_training_steps: 200
+                warmup_style: constant
+                weight_decay: 0.01
+            policy_loss:
+                _target_: verl.workers.config.PolicyLossConfig
+                clip_cov_lb: 1
+                clip_cov_ratio: 0.0002
+                clip_cov_ub: 5
+                kl_cov_ratio: 0.0002
+                loss_mode: vanilla
+                ppo_kl_coef: 0.1
+            ppo_epochs: 1
+            ppo_max_token_len_per_gpu: 16384
+            ppo_micro_batch_size: null
+            ppo_micro_batch_size_per_gpu: 1
+            ppo_mini_batch_size: 32
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            shuffle: false
+            strategy: fsdp
+            tis_imp_ratio_cap: -1
+            ulysses_sequence_parallel_size: 1
+            use_dynamic_bsz: false
+            use_fused_kernels: false
+            use_kl_loss: false
+            use_ref: true
+            use_remove_padding: false
+            use_torch_compile: true
+        hybrid_engine: true
+        model:
+            _target_: verl.workers.config.HFModelConfig
+            custom_chat_template: null
+            enable_activation_offload: false
+            enable_gradient_checkpointing: true
+            exclude_modules: null
+            external_lib: null
+            fused_kernel_options:
+                impl_backend: torch
+            hf_config_path: null
+            lora_alpha: 16
+            lora_rank: 0
+            path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_nothink_think_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
+            target_modules: all-linear
+            tokenizer_path: null
+            torch_dtype: bfloat16
+            trust_remote_code: false
+            use_fused_kernels: false
+            use_liger: false
+            use_remove_padding: false
+            use_shm: false
+        nccl_timeout: 600
+        ref:
+            entropy_checkpointing: false
+            entropy_from_logits_with_chunking: false
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            log_prob_max_token_len_per_gpu: 16384
+            log_prob_micro_batch_size: null
+            log_prob_micro_batch_size_per_gpu: 1
+            log_prob_use_dynamic_bsz: false
+            model: null
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            strategy: fsdp
+            ulysses_sequence_parallel_size: 1
+            use_torch_compile: true
+        rollout:
+            _target_: verl.workers.config.RolloutConfig
+            agent:
+                _target_: verl.workers.config.AgentLoopConfig
+                agent_loop_config_path: null
+                custom_async_server:
+                    _target_: verl.workers.config.CustomAsyncServerConfig
+                    name: null
+                    path: null
+                num_workers: 8
+            calculate_log_probs: false
+            cudagraph_capture_sizes: null
+            data_parallel_size: 1
+            disable_log_stats: true
+            do_sample: true
+            dtype: bfloat16
+            enable_chunked_prefill: true
+            enable_prefix_caching: true
+            enforce_eager: true
+            expert_parallel_size: 1
+            free_cache_engine: true
+            gpu_memory_utilization: 0.5
+            ignore_eos: false
+            layered_summon: false
+            load_format: dummy
+            log_prob_max_token_len_per_gpu: 16384
+            log_prob_micro_batch_size: null
+            log_prob_micro_batch_size_per_gpu: 1
+            log_prob_use_dynamic_bsz: false
+            max_model_len: 16384
+            max_num_batched_tokens: 16384
+            max_num_seqs: 1024
+            mode: sync
+            multi_stage_wake_up: false
+            multi_turn:
+                _target_: verl.workers.config.MultiTurnConfig
+                enable: false
+                format: hermes
+                interaction_config_path: null
+                max_assistant_turns: null
+                max_parallel_calls: 1
+                max_tool_response_length: 256
+                max_user_turns: null
+                num_repeat_rollouts: null
+                tokenization_sanity_check_mode: strict
+                tool_config_path: null
+                tool_response_truncate_side: middle
+                use_inference_chat_template: false
+            "n": 1
+            name: vllm
+            over_sample_rate: 0
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            prompt_length: 1
+            response_length: 500
+            rollout_filter_metric: reward_variance
+            rollout_filter_ratio: 0.25
+            rollout_filter_type: largest
+            skip_dump_dir: /tmp/rollout_dump
+            skip_rollout: false
+            skip_tokenizer_init: true
+            temperature: 1
+            tensor_model_parallel_size: 1
+            top_k: -1
+            top_p: 1
+            trace:
+                _target_: verl.workers.config.TraceConfig
+                backend: null
+                token2text: false
+            update_weights_bucket_megabytes: 512
+            val_kwargs:
+                _target_: verl.workers.config.SamplingConfig
+                do_sample: true
+                "n": 1
+                temperature: 0.5
+                top_k: -1
+                top_p: 1
+agent_proxy:
+    value:
+        action_sep: '||'
+        enable_think: true
+        max_actions_per_turn: 1
+        max_context_window: -1
+        max_turn: 25
+        reward_normalization:
+            grouping: state
+            method: identity
+        use_turn_scores: false
+algorithm:
+    value:
+        _target_: verl.trainer.config.AlgoConfig
+        adv_estimator: gae
+        bi_level_gae: false
+        gamma: 1
+        high_level_gamma: 0.95
+        kl_ctrl:
+            _target_: verl.trainer.config.KLControlConfig
+            horizon: 10000
+            kl_coef: 0
+            target_kl: 0.1
+            type: fixed
+        kl_penalty: kl
+        lam: 1
+        norm_adv_by_std_in_grpo: true
+        pf_ppo:
+            reweight_method: pow
+            weight_pow: 2
+        use_kl_in_reward: false
+        use_pf_ppo: false
+critic:
+    value:
+        _target_: verl.workers.config.FSDPCriticConfig
+        checkpoint:
+            _target_: verl.trainer.config.CheckpointConfig
+            async_save: false
+            load_contents:
+                - model
+                - optimizer
+                - extra
+            save_contents:
+                - model
+                - optimizer
+                - extra
+        cliprange_value: 0.5
+        enable: null
+        forward_max_token_len_per_gpu: 32768
+        forward_micro_batch_size: null
+        forward_micro_batch_size_per_gpu: 1
+        grad_clip: 1
+        loss_agg_mode: token-mean
+        model:
+            _target_: verl.workers.config.FSDPCriticModelCfg
+            enable_activation_offload: false
+            enable_gradient_checkpointing: true
+            external_lib: null
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            lora_alpha: 16
+            lora_rank: 0
+            path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_nothink_think_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
+            target_modules: all-linear
+            tokenizer_path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_nothink_think_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
+            trust_remote_code: false
+            use_remove_padding: false
+            use_shm: false
+        optim:
+            _target_: verl.workers.config.FSDPOptimizerConfig
+            betas:
+                - 0.9
+                - 0.999
+            clip_grad: 1
+            lr: 1e-05
+            lr_warmup_steps: -1
+            lr_warmup_steps_ratio: 0
+            min_lr_ratio: 0
+            num_cycles: 0.5
+            total_training_steps: 200
+            warmup_style: constant
+            weight_decay: 0.01
+        ppo_epochs: 1
+        ppo_max_token_len_per_gpu: 32768
+        ppo_micro_batch_size: null
+        ppo_micro_batch_size_per_gpu: 1
+        ppo_mini_batch_size: 32
+        profiler:
+            _target_: verl.utils.profiler.ProfilerConfig
+            all_ranks: false
+            enable: false
+            ranks: []
+            save_path: outputs/profile
+            tool: null
+            tool_config:
+                npu:
+                    _target_: verl.utils.profiler.config.NPUToolConfig
+                    analysis: true
+                    contents: []
+                    discrete: false
+                    level: level1
+                nsys:
+                    _target_: verl.utils.profiler.config.NsightToolConfig
+                    discrete: false
+                torch:
+                    _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                    step_end: null
+                    step_start: 0
+                torch_memory:
+                    _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                    stack_depth: 32
+                    trace_alloc_max_entries: 100000
+        rollout_n: 1
+        shuffle: false
+        strategy: fsdp
+        ulysses_sequence_parallel_size: 1
+        use_dynamic_bsz: false
+ctx_manager:
+    value:
+        generation:
+            gen_config:
+                kwargs: null
+                response_length: 500
+                temperature: 1
+                top_k: -1
+                top_p: 1
+custom_envs:
+    value:
+        Bandit:
+            env_config:
+                split: train
+            env_instruction: ""
+            env_type: bandit
+            max_actions_per_traj: 1
+            max_tokens: 100
+        BanditTest:
+            env_config:
+                split: test
+            env_instruction: ""
+            env_type: bandit
+            max_actions_per_traj: 1
+            max_tokens: 100
+        CoordFrozenLake:
+            env_config:
+                observation_format: grid_coord
+            env_instruction: |
+                You are solving the FrozenLake puzzle. The observation includes both a symbol grid and zero-indexed coordinates for the start, goal, player, and any holes.
+                Coordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5).
+                Beware that the ice is slippery, so the agent might slide and end up in an unintended tile.
+                Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
+            env_type: frozen_lake
+            max_actions_per_traj: 25
+            max_tokens: 120
+        CoordSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 2
+                observation_format: grid_coord
+            env_instruction: "You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets.\nYou are provided with a symbol grid and the zero-indexed coordinates of the player, each box, and each target. \nCoordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5). \nWhen you are exactly next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box.\nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>.\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 120
+        Countdown:
+            env_config: null
+            env_instruction: 'You are solving the Countdown puzzle. You should use the num list to create an equation that equals the target. Example answer format: <think> To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3 = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
+            env_type: countdown
+            max_actions_per_traj: 1
+            max_tokens: 100
+        FrozenLake:
+            env_config: null
+            env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and go to the target. You may move to the unintended direction due to the slippery ice. Example answer format: <think>To forbid the hole and go to the target, I should go left then go up.</think><answer>Left || Up</answer>'
+            env_type: frozen_lake
+            max_actions_per_traj: 25
+            max_tokens: 100
+        LargerSokoban:
+            env_config:
+                dim_x: 8
+                dim_y: 8
+                max_steps: 100
+                num_boxes: 2
+                search_depth: 10
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        Lean:
+            env_config: null
+            env_instruction: You are a Lean theorem prover. Given a Lean theorem statement, propose a sequence of tactics that completes the proof. Think step by step about which tactics to apply next. Provide tactics separated by '||', for example <answer>intro || simp || rfl</answer>.
+            env_type: lean
+            max_actions_per_traj: 30
+            max_tokens: 512
+        MediumSudoku:
+            env_config:
+                difficulty: medium
+                grid_size: 9
+                max_steps: 81
+                render_format: with_feedback
+                show_conflicts: true
+                show_valid_numbers: true
+            env_instruction: |
+                You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 3x3 box contains the numbers 1-9 without repetition.
+                Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
+                Place numbers one at a time using the format: <answer>place 5 at row 2 col 3</answer> or <answer>2,3,5</answer>
+                The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
+            env_type: sudoku
+            max_actions_per_traj: 30
+            max_tokens: 150
+            max_workers: 32
+            parallel_friendly: false
+        MetamathQA:
+            env_config: null
+            env_instruction: 'You are solving Math problems. '
+            env_type: metamathqa
+            max_actions_per_traj: 1
+            max_tokens: 100
+        SimpleSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 2
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        SimpleSudoku:
+            env_config:
+                difficulty: easy
+                grid_size: 4
+                max_steps: 20
+                render_format: with_feedback
+                show_conflicts: false
+                show_valid_numbers: false
+            env_instruction: |
+                You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.
+                Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
+                Place numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>
+                The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
+            env_type: sudoku
+            max_actions_per_traj: 20
+            max_tokens: 150
+            max_workers: 32
+            parallel_friendly: false
+        SokobanDifferentGridVocab:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                grid_lookup:
+                    "0": W
+                    "1": .
+                    "2": G
+                    "3": C
+                    "4": B
+                    "5": A
+                    "6": '@'
+                grid_vocab:
+                    .: empty
+                    '@': player on target
+                    A: player
+                    B: box
+                    C: box on target
+                    G: target
+                    W: wall
+                max_steps: 100
+                num_boxes: 1
+                search_depth: 30
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        VisualSimpleSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 1
+                render_mode: rgb_array
+            env_instruction: You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets. When you are right next to a box, you can push it by moving in the same direction. You cannot push a box through a wall, and you cannot pull a box. The answer should be a sequence of actions, like <answer>Right || Right || Up</answer>
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        WebShop:
+            env_config:
+                dataset: small
+            env_instruction: 'You are browsing an online shop. Based on the instruction, buy a product that close to the production description. You need to search, read the search results, pick a product, choose the size and color and buy. You should only choose action from the available actions list provided later.  Example process: I need a gingko light and 20x20 pillow cover that is hand painted. First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
+            env_type: webshop
+            max_actions_per_traj: 9
+            max_tokens: 200
+        blackjack:
+            env_config: null
+            env_instruction: |
+                You are playing Blackjack against a dealer. The dealer must hit on 16 or less and stand on 17 or more.
+                Choose either Stick or Hit. Respond with a single action.
+                Example: <answer>Hit</answer>
+            env_type: blackjack
+            max_actions_per_traj: 10
+            max_tokens: 64
+        game_2048:
+            env_config: null
+            env_instruction: |
+                You are playing the 2048 game on a 4x4 grid. Merge equal tiles by sliding Up, Right, Down, or Left.
+                If a move is invalid (no tiles move), a small penalty is applied. Respond with a single action.
+                Example: <answer>Up</answer>
+            env_type: game_2048
+            max_actions_per_traj: 700
+            max_tokens: 8192
+        rubikscube:
+            env_config:
+                max_steps: 20
+                render_mode: text
+                scramble_depth: 3
+            env_instruction: |
+                You are solving a 2x2 Rubik's Cube (Pocket Cube). The goal is to restore the cube so that each of the faces consists of a single, unique color.
+                Available actions use standard Singmaster notation for face rotations: U, U', D, D', L, L', R, R', F, F', B, B'.
+                - Faces: U (Up), D (Down), L (Left), R (Right), F (Front), B (Back).
+                - Modifiers: A letter alone means 90° clockwise (e.g., 'R'). A letter with prime (') means 90° counter-clockwise (e.g., "R'").
+                Respond with a sequence of actions separated by "||".
+                Example: <answer>U</answer>
+            env_type: rubikscube
+            max_actions_per_traj: 20
+            max_tokens: 96
+custom_reward_function:
+    value:
+        name: compute_score
+        path: null
+data:
+    value:
+        custom_cls:
+            name: null
+            path: null
+        datagen:
+            name: null
+            path: null
+        dataloader_num_workers: 8
+        filter_overlong_prompts: false
+        filter_overlong_prompts_workers: 1
+        image_key: images
+        max_prompt_length: null
+        max_response_length: null
+        prompt_key: prompt
+        return_full_prompt: false
+        return_multi_modal_inputs: true
+        return_raw_chat: false
+        return_raw_input_ids: false
+        reward_fn_key: data_source
+        sampler:
+            class_name: null
+            class_path: null
+        shuffle: true
+        tokenizer: null
+        train_batch_size: 128
+        train_files: ~/data/rlhf/gsm8k/train.parquet
+        truncation: error
+        trust_remote_code: false
+        use_shm: false
+        val_batch_size: null
+        val_files: ~/data/rlhf/gsm8k/test.parquet
+        validation_shuffle: false
+        video_key: videos
+enable_response_mask:
+    value: true
+es_manager:
+    value:
+        format_penalty: -0.1
+        train:
+            env_configs:
+                n_groups:
+                    - 8
+                tags:
+                    - SimpleSudoku
+            env_groups: 8
+            group_size: 16
+        val:
+            env_configs:
+                n_groups:
+                    - 32
+                tags:
+                    - SimpleSudoku
+            env_groups: 32
+            group_size: 16
+global_profiler:
+    value:
+        _target_: verl.utils.profiler.ProfilerConfig
+        global_tool_config:
+            nsys:
+                _target_: verl.utils.profiler.config.NsightToolConfig
+                controller_nsight_options:
+                    cuda-graph-trace: graph
+                    cuda-memory-usage: "true"
+                    trace: cuda,nvtx,cublas,ucx
+                discrete: false
+                worker_nsight_options:
+                    capture-range: cudaProfilerApi
+                    capture-range-end: null
+                    cuda-graph-trace: graph
+                    cuda-memory-usage: "true"
+                    kill: none
+                    trace: cuda,nvtx,cublas,ucx
+            torch_memory:
+                context: all
+                stack_depth: 32
+                stacks: all
+                trace_alloc_max_entries: 100000
+        profile_continuous_steps: false
+        save_path: outputs/profile
+        steps: null
+        tool: null
+grpo_advantage_length_weight:
+    value: false
+lora:
+    value:
+        alpha: 16
+        rank: 0
+        target_modules: all-linear
+micro_batch_size_per_gpu:
+    value: 1
+model_path:
+    value: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_nothink_think_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
+ppo_mini_batch_size:
+    value: 32
+ray_kwargs:
+    value:
+        ray_init:
+            num_cpus: null
+        timeline_json_file: null
+reward_model:
+    value:
+        enable: false
+        enable_resource_pool: false
+        forward_max_token_len_per_gpu: 32768
+        launch_reward_fn_async: false
+        max_length: null
+        micro_batch_size: null
+        micro_batch_size_per_gpu: null
+        model:
+            external_lib: null
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                forward_prefetch: false
+                fsdp_size: -1
+                param_offload: false
+                reshard_after_forward: true
+                wrap_policy:
+                    min_num_params: 0
+            input_tokenizer: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_nothink_think_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
+            path: ~/models/FsfairX-LLaMA3-RM-v0.1
+            trust_remote_code: false
+            use_fused_kernels: false
+            use_remove_padding: false
+            use_shm: false
+        n_gpus_per_node: 0
+        nnodes: 0
+        profiler:
+            _target_: verl.utils.profiler.ProfilerConfig
+            all_ranks: false
+            enable: false
+            ranks: []
+            save_path: outputs/profile
+            tool: null
+            tool_config:
+                npu:
+                    _target_: verl.utils.profiler.config.NPUToolConfig
+                    analysis: true
+                    contents: []
+                    discrete: false
+                    level: level1
+                nsys:
+                    _target_: verl.utils.profiler.config.NsightToolConfig
+                    discrete: false
+                torch:
+                    _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                    step_end: null
+                    step_start: 0
+                torch_memory:
+                    _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                    stack_depth: 32
+                    trace_alloc_max_entries: 100000
+        reward_manager: naive
+        sandbox_fusion:
+            max_concurrent: 64
+            memory_limit_mb: 1024
+            url: null
+        strategy: fsdp
+        ulysses_sequence_parallel_size: 1
+        use_dynamic_bsz: false
+seed:
+    value:
+        train: 10000
+        val: 123
+system:
+    value:
+        CUDA_VISIBLE_DEVICES: 0,1,2,3,4,5,6,7
+trainer:
+    value:
+        balance_batch: true
+        critic_warmup: 0
+        default_hdfs_dir: null
+        default_local_dir: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_nothink_think_sudoku_sequence_multitask
+        del_local_ckpt_after_load: false
+        device: cuda
+        esi_redundant_time: 0
+        experiment_name: sudoku-4x4-nohint-starpos_sequence_multitask
+        generations_to_log_to_wandb:
+            train: 128
+            val: 20
+        local_log_dir: results/
+        log_val_generations: 0
+        logger:
+            - console
+            - wandb
+        max_actor_ckpt_to_keep: 1
+        max_critic_ckpt_to_keep: 1
+        n_gpus_per_node: 8
+        nnodes: 1
+        project_name: ragen_latest_qwen2.5_3B_it_sequence_multitask
+        ray_wait_register_center_timeout: 300
+        resume_from_path: null
+        resume_mode: auto
+        rollout_data_dir: null
+        save_freq: 200
+        test_freq: 10
+        total_epochs: 30
+        total_training_steps: 200
+        use_legacy_worker_impl: auto
+        val_before_train: true
+        val_only: false
+        validation_data_dir: null
+        validation_steps: 1

wandb/run-20260106_143630-otuxsoaq/files/media/table/val/generations_0_43c24bf058eee7b9b91f.table.json

@@ -0,0 +1 @@
+{"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[200, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [2][4]\n[4] . |  .  .\n-------------\n . [3]| [4] .\n . [4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 1</think><answer>place 1 at row 4 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [2][4]\n[4] . |  .  .\n-------------\n . [3]| [4] .\n 1 [4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (4,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 3 col 4</think><answer>place 1 at row 3 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [2][4]\n[4] . |  .  .\n-------------\n . [3]| [4] 1\n 1 [4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (3,4)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 4</think><answer>place 3 at row 2 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [2][4]\n[4] . |  .  3\n-------------\n . [3]| [4] 1\n 1 [4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (2,4)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 1</think><answer>place 2 at row 3 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [2][4]\n[4] . |  .  3\n-------------\n 2 [3]| [4] 1\n 1 [4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,1)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 3</think><answer>place 1 at row 2 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [2][4]\n[4] . |  1  3\n-------------\n 2 [3]| [4] 1\n 1 [4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (2,3)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 2 col 2</think><answer>place 2 at row 2 col 2</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [1]|  . [3]\n[3] . | [1][2]\n-------------\n . [2]|  . [4]\n[4] . | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 4 col 2</think><answer>place 3 at row 4 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [1]|  . [3]\n[3] . | [1][2]\n-------------\n . [2]|  . [4]\n[4] 3 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (4,2)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 3 col 1</think><answer>place 1 at row 3 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [1]|  . [3]\n[3] . | [1][2]\n-------------\n 1 [2]|  . [4]\n[4] 3 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (3,1)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 2</think><answer>place 4 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [1]|  . [3]\n[3] 4 | [1][2]\n-------------\n 1 [2]|  . [4]\n[4] 3 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,2)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 3 col 3</think><answer>place 3 at row 3 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [1]|  . [3]\n[3] 4 | [1][2]\n-------------\n 1 [2]|  3 [4]\n[4] 3 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (3,3)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 1 col 1</think><answer>place 2 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2 [1]|  . [3]\n[3] 4 | [1][2]\n-------------\n 1 [2]|  3 [4]\n[4] 3 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (1,1)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 1 col 3</think><answer>place 4 at row 1 col 3</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4][1]| [3][2]\n[2] . | [1] .\n-------------\n[3] . |  .  .\n[1][4]| [2] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 4 col 4</think><answer>place 3 at row 4 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4][1]| [3][2]\n[2] . | [1] .\n-------------\n[3] . |  .  .\n[1][4]| [2] 3\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (4,4)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 3</think><answer>place 2 at row 3 col 3</answer>\nuser\nReward:\n-0.1\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4][1]| [3][2]\n[2] . | [1] .\n-------------\n[3] . |  .  .\n[1][4]| [2] 3\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u274c Invalid placement: 2 conflicts with column 3, box (2,2)\n   Valid numbers for (3,3): [4]\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 3 col 3</think><answer>place 4 at row 3 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4][1]| [3][2]\n[2] . | [1] .\n-------------\n[3] . |  4  .\n[1][4]| [2] 3\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (3,3)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 3 col 4</think><answer>place 1 at row 3 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4][1]| [3][2]\n[2] . | [1] .\n-------------\n[3] . |  4  1\n[1][4]| [2] 3\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (3,4)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 2</think><answer>place 2 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4][1]| [3][2]\n[2] . | [1] .\n-------------\n[3] 2 |  4  1\n[1][4]| [2] 3\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,2)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 4</think><answer>place 4 at row 2 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 7:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4][1]| [3][2]\n[2] . | [1] 4\n-------------\n[3] 2 |  4  1\n[1][4]| [2] 3\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,4)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 6/20\nYou have 14 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 2</think><answer>place 3 at row 2 col 2</answer>\n", 15.899999618530273, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [2]| [4] .\n[1][4]| [2][3]\n-------------\n . [3]| [1][2]\n .  . | [3] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 1 col 1</think><answer>place 3 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 3 [2]| [4] .\n[1][4]| [2][3]\n-------------\n . [3]| [1][2]\n .  . | [3] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (1,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 1 col 4</think><answer>place 1 at row 1 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 3 [2]| [4] 1\n[1][4]| [2][3]\n-------------\n . [3]| [1][2]\n .  . | [3] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (1,4)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 1</think><answer>place 2 at row 3 col 1</answer>\nuser\nReward:\n-0.1\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 3 [2]| [4] 1\n[1][4]| [2][3]\n-------------\n . [3]| [1][2]\n .  . | [3] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u274c Invalid placement: 2 conflicts with row 3\n   Valid numbers for (3,1): [4]\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 2</think><answer>place 1 at row 4 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 3 [2]| [4] 1\n[1][4]| [2][3]\n-------------\n . [3]| [1][2]\n .  1 | [3] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (4,2)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 3 col 1</think><answer>place 4 at row 3 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 3 [2]| [4] 1\n[1][4]| [2][3]\n-------------\n 4 [3]| [1][2]\n .  1 | [3] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (3,1)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 4 col 1</think><answer>place 2 at row 4 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 7:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 3 [2]| [4] 1\n[1][4]| [2][3]\n-------------\n 4 [3]| [1][2]\n 2  1 | [3] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (4,1)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 6/20\nYou have 14 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 4 col 4</think><answer>place 4 at row 4 col 4</answer>\n", 15.899999618530273, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]| [2][4]\n .  . | [3][1]\n-------------\n[4] . | [1][3]\n[3] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 1</think><answer>place 4 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]| [2][4]\n .  4 | [3][1]\n-------------\n[4] . | [1][3]\n[3] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,2)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 1 col 1</think><answer>place 1 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n .  4 | [3][1]\n-------------\n[4] . | [1][3]\n[3] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (1,1)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 2 col 1</think><answer>place 2 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n 2  4 | [3][1]\n-------------\n[4] . | [1][3]\n[3] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (2,1)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 2</think><answer>place 2 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n 2  4 | [3][1]\n-------------\n[4] 2 | [1][3]\n[3] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,2)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 2</think><answer>place 1 at row 4 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n 2  4 | [3][1]\n-------------\n[4] 2 | [1][3]\n[3] 1 | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (4,2)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 4 col 4</think><answer>place 2 at row 4 col 4</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]| [2][1]\n .  . | [4][3]\n-------------\n[2] . | [3][4]\n[3] . |  . [2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 1</think><answer>place 1 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]| [2][1]\n 1  . | [4][3]\n-------------\n[2] . | [3][4]\n[3] . |  . [2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (2,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 1 col 1</think><answer>place 4 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [3]| [2][1]\n 1  . | [4][3]\n-------------\n[2] . | [3][4]\n[3] . |  . [2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (1,1)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 2 col 2</think><answer>place 2 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [3]| [2][1]\n 1  2 | [4][3]\n-------------\n[2] . | [3][4]\n[3] . |  . [2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (2,2)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 3</think><answer>place 1 at row 4 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [3]| [2][1]\n 1  2 | [4][3]\n-------------\n[2] . | [3][4]\n[3] . |  1 [2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (4,3)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 3 col 2</think><answer>place 1 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [3]| [2][1]\n 1  2 | [4][3]\n-------------\n[2] 1 | [3][4]\n[3] . |  1 [2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (3,2)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 4 col 2</think><answer>place 4 at row 4 col 2</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] .\n-------------\n .  . | [3][1]\n . [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 4 col 1</think><answer>place 3 at row 4 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] .\n-------------\n .  . | [3][1]\n 3 [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (4,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 3 col 2</think><answer>place 4 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] .\n-------------\n .  4 | [3][1]\n 3 [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (3,2)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 1</think><answer>place 2 at row 3 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] .\n-------------\n 2  4 | [3][1]\n 3 [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,1)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 4 col 3</think><answer>place 4 at row 4 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] .\n-------------\n 2  4 | [3][1]\n 3 [1]|  4  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (4,3)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 4</think><answer>place 3 at row 2 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] 3\n-------------\n 2  4 | [3][1]\n 3 [1]|  4  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (2,4)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 4</think><answer>place 1 at row 4 col 4</answer>\nuser\nReward:\n-0.1\n\nTurn 7:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] 3\n-------------\n 2  4 | [3][1]\n 3 [1]|  4  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u274c Invalid placement: 1 conflicts with row 4, column 4, box (2,2)\n   Valid numbers for (4,4): [2]\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 6/20\nYou have 14 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 4 col 4</think><answer>place 2 at row 4 col 4</answer>\n", 15.899999618530273, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]| [2][4]\n .  . | [3][1]\n-------------\n[4] . | [1][3]\n[3] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 1 col 1</think><answer>place 1 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n .  . | [3][1]\n-------------\n[4] . | [1][3]\n[3] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (1,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 2</think><answer>place 4 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n .  4 | [3][1]\n-------------\n[4] . | [1][3]\n[3] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,2)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 2</think><answer>place 1 at row 4 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n .  4 | [3][1]\n-------------\n[4] . | [1][3]\n[3] 1 | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (4,2)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 2</think><answer>place 2 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n .  4 | [3][1]\n-------------\n[4] 2 | [1][3]\n[3] 1 | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,2)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 2 col 1</think><answer>place 2 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 1 [3]| [2][4]\n 2  4 | [3][1]\n-------------\n[4] 2 | [1][3]\n[3] 1 | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (2,1)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 4 col 4</think><answer>place 2 at row 4 col 4</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  .\n[2] . |  . [4]\n-------------\n . [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 2</think><answer>place 1 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  .\n[2] 1 |  . [4]\n-------------\n . [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (2,2)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 3 col 1</think><answer>place 3 at row 3 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  .\n[2] 1 |  . [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (3,1)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 3</think><answer>place 3 at row 2 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  .\n[2] 1 |  3 [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (2,3)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 1 col 3</think><answer>place 2 at row 1 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  2  .\n[2] 1 |  3 [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (1,3)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 1 col 2</think><answer>place 3 at row 1 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] 3 |  2  .\n[2] 1 |  3 [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (1,2)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 1 col 4</think><answer>place 1 at row 1 col 4</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][4]| [3][2]\n[3][2]| [1] .\n-------------\n . [1]|  .  .\n[2] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 3</think><answer>place 2 at row 3 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][4]| [3][2]\n[3][2]| [1] .\n-------------\n . [1]|  2  .\n[2] . | [4] .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,3)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 4</think><answer>place 1 at row 4 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][4]| [3][2]\n[3][2]| [1] .\n-------------\n . [1]|  2  .\n[2] . | [4] 1\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (4,4)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 3 col 1</think><answer>place 4 at row 3 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][4]| [3][2]\n[3][2]| [1] .\n-------------\n 4 [1]|  2  .\n[2] . | [4] 1\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (3,1)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 4 col 2</think><answer>place 3 at row 4 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][4]| [3][2]\n[3][2]| [1] .\n-------------\n 4 [1]|  2  .\n[2] 3 | [4] 1\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (4,2)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 3 col 4</think><answer>place 3 at row 3 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][4]| [3][2]\n[3][2]| [1] .\n-------------\n 4 [1]|  2  3\n[2] 3 | [4] 1\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (3,4)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 4</think><answer>place 4 at row 2 col 4</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  . [4]\n .  . | [2] .\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 1</think><answer>place 4 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  . [4]\n 4  . | [2] .\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 1 col 3</think><answer>place 1 at row 1 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  1 [4]\n 4  . | [2] .\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (1,3)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 1 col 1</think><answer>place 2 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2 [3]|  1 [4]\n 4  . | [2] .\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (1,1)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 2</think><answer>place 1 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2 [3]|  1 [4]\n 4  1 | [2] .\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (2,2)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 2</think><answer>place 2 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2 [3]|  1 [4]\n 4  1 | [2] .\n-------------\n[3] 2 | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,2)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 4</think><answer>place 3 at row 2 col 4</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  . [4]\n .  . | [2] .\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 1 col 3</think><answer>place 1 at row 1 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  1 [4]\n .  . | [2] .\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (1,3)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 1</think><answer>place 4 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  1 [4]\n 4  . | [2] .\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,1)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 4</think><answer>place 3 at row 2 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  1 [4]\n 4  . | [2] 3\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (2,4)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 1 col 1</think><answer>place 2 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2 [3]|  1 [4]\n 4  . | [2] 3\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (1,1)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 2</think><answer>place 1 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2 [3]|  1 [4]\n 4  1 | [2] 3\n-------------\n[3] . | [4][1]\n[1][4]| [3][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (2,2)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 2</think><answer>place 2 at row 3 col 2</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [1]|  . [2]\n[2][3]| [1][4]\n-------------\n[1][4]|  . [3]\n[3] . |  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 1 col 1</think><answer>place 4 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [1]|  . [2]\n[2][3]| [1][4]\n-------------\n[1][4]|  . [3]\n[3] . |  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (1,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 3</think><answer>place 2 at row 3 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [1]|  . [2]\n[2][3]| [1][4]\n-------------\n[1][4]|  2 [3]\n[3] . |  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,3)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 1 col 3</think><answer>place 3 at row 1 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [1]|  3 [2]\n[2][3]| [1][4]\n-------------\n[1][4]|  2 [3]\n[3] . |  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (1,3)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 4 col 3</think><answer>place 4 at row 4 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [1]|  3 [2]\n[2][3]| [1][4]\n-------------\n[1][4]|  2 [3]\n[3] . |  4  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (4,3)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 4</think><answer>place 1 at row 4 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 4 [1]|  3 [2]\n[2][3]| [1][4]\n-------------\n[1][4]|  2 [3]\n[3] . |  4  1\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (4,4)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 4 col 2</think><answer>place 2 at row 4 col 2</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1] . |  .  .\n[4][2]| [1][3]\n-------------\n[2] . |  . [4]\n[3] . | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 4 col 2</think><answer>place 4 at row 4 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1] . |  .  .\n[4][2]| [1][3]\n-------------\n[2] . |  . [4]\n[3] 4 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (4,2)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 3 col 2</think><answer>place 1 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1] . |  .  .\n[4][2]| [1][3]\n-------------\n[2] 1 |  . [4]\n[3] 4 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (3,2)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 3 col 3</think><answer>place 3 at row 3 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1] . |  .  .\n[4][2]| [1][3]\n-------------\n[2] 1 |  3 [4]\n[3] 4 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (3,3)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 1 col 3</think><answer>place 4 at row 1 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1] . |  4  .\n[4][2]| [1][3]\n-------------\n[2] 1 |  3 [4]\n[3] 4 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (1,3)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 1 col 2</think><answer>place 3 at row 1 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1] 3 |  4  .\n[4][2]| [1][3]\n-------------\n[2] 1 |  3 [4]\n[3] 4 | [2][1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (1,2)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 1 col 4</think><answer>place 2 at row 1 col 4</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [4][2]\n . [2]| [3] .\n-------------\n[2] . | [1] .\n .  . | [2][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 2</think><answer>place 1 at row 4 col 2</answer>\nuser\nReward:\n-0.1\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [4][2]\n . [2]| [3] .\n-------------\n[2] . | [1] .\n .  . | [2][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u274c Invalid placement: 1 conflicts with column 2\n   Valid numbers for (4,2): [3]\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 1</think><answer>place 4 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [4][2]\n 4 [2]| [3] .\n-------------\n[2] . | [1] .\n .  . | [2][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 4 col 2</think><answer>place 3 at row 4 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [4][2]\n 4 [2]| [3] .\n-------------\n[2] . | [1] .\n .  3 | [2][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (4,2)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 4 col 1</think><answer>place 1 at row 4 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [4][2]\n 4 [2]| [3] .\n-------------\n[2] . | [1] .\n 1  3 | [2][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (4,1)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 3 col 2</think><answer>place 4 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [4][2]\n 4 [2]| [3] .\n-------------\n[2] 4 | [1] .\n 1  3 | [2][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (3,2)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 4</think><answer>place 1 at row 2 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 7:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[3][1]| [4][2]\n 4 [2]| [3] 1\n-------------\n[2] 4 | [1] .\n 1  3 | [2][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (2,4)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 6/20\nYou have 14 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 3 col 4</think><answer>place 3 at row 3 col 4</answer>\n", 15.899999618530273, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  .\n[2] . |  . [4]\n-------------\n . [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 3 col 1</think><answer>place 3 at row 3 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  .\n[2] . |  . [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (3,1)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 2</think><answer>place 1 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  .\n[2] 1 |  . [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (2,2)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 3</think><answer>place 3 at row 2 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  .\n[2] 1 |  3 [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (2,3)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 1 col 4</think><answer>place 1 at row 1 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] . |  .  1\n[2] 1 |  3 [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (1,4)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 1 col 2</think><answer>place 3 at row 1 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[4] 3 |  .  1\n[2] 1 |  3 [4]\n-------------\n 3 [4]| [1][2]\n[1][2]| [4][3]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (1,2)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 1 col 3</think><answer>place 2 at row 1 col 3</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n .  . | [1][4]\n .  . | [2] .\n-------------\n[3][1]| [4][2]\n[4][2]|  . [1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 2</think><answer>place 4 at row 2 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n .  . | [1][4]\n .  4 | [2] .\n-------------\n[3][1]| [4][2]\n[4][2]|  . [1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,2)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 1</think><answer>place 1 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n .  . | [1][4]\n 1  4 | [2] .\n-------------\n[3][1]| [4][2]\n[4][2]|  . [1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 1 at (2,1)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 1 col 2</think><answer>place 3 at row 1 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n .  3 | [1][4]\n 1  4 | [2] .\n-------------\n[3][1]| [4][2]\n[4][2]|  . [1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (1,2)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 4 col 3</think><answer>place 3 at row 4 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n .  3 | [1][4]\n 1  4 | [2] .\n-------------\n[3][1]| [4][2]\n[4][2]|  3 [1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (4,3)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 1 col 1</think><answer>place 2 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2  3 | [1][4]\n 1  4 | [2] .\n-------------\n[3][1]| [4][2]\n[4][2]|  3 [1]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (1,1)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 4</think><answer>place 3 at row 2 col 4</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  .  .\n . [1]| [2][3]\n-------------\n[3] . | [1] .\n[1][2]| [3][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 4</think><answer>place 2 at row 3 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  .  .\n . [1]| [2][3]\n-------------\n[3] . | [1] 2\n[1][2]| [3][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,4)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 1</think><answer>place 4 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  .  .\n 4 [1]| [2][3]\n-------------\n[3] . | [1] 2\n[1][2]| [3][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,1)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 3 col 2</think><answer>place 4 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n . [3]|  .  .\n 4 [1]| [2][3]\n-------------\n[3] 4 | [1] 2\n[1][2]| [3][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (3,2)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 1 col 1</think><answer>place 2 at row 1 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2 [3]|  .  .\n 4 [1]| [2][3]\n-------------\n[3] 4 | [1] 2\n[1][2]| [3][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (1,1)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 1 col 3</think><answer>place 4 at row 1 col 3</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n 2 [3]|  4  .\n 4 [1]| [2][3]\n-------------\n[3] 4 | [1] 2\n[1][2]| [3][4]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (1,3)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 1 col 4</think><answer>place 1 at row 1 col 4</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[2] . | [4][1]\n .  . | [2] .\n-------------\n[1] . | [3][4]\n[3] . | [1][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 1 col 2</think><answer>place 3 at row 1 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[2] 3 | [4][1]\n .  . | [2] .\n-------------\n[1] . | [3][4]\n[3] . | [1][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (1,2)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 4 col 2</think><answer>place 4 at row 4 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[2] 3 | [4][1]\n .  . | [2] .\n-------------\n[1] . | [3][4]\n[3] 4 | [1][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (4,2)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 2</think><answer>place 2 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[2] 3 | [4][1]\n .  . | [2] .\n-------------\n[1] 2 | [3][4]\n[3] 4 | [1][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,2)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 4</think><answer>place 3 at row 2 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[2] 3 | [4][1]\n .  . | [2] 3\n-------------\n[1] 2 | [3][4]\n[3] 4 | [1][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (2,4)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 2 col 1</think><answer>place 4 at row 2 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[2] 3 | [4][1]\n 4  . | [2] 3\n-------------\n[1] 2 | [3][4]\n[3] 4 | [1][2]\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (2,1)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 1 at row 2 col 2</think><answer>place 1 at row 2 col 2</answer>\n", 16.0, "", "system\nYou're a helpful assistant. \nuser\nYou are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.\nInitial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).\nPlace numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>\nThe environment will provide feedback on valid/invalid moves and show conflicts if any occur.\n\nTurn 1:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] .\n-------------\n .  . | [3][1]\n . [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\nProgress: 10/16 cells filled (10 initial, 0 placed)\nSteps: 0/20\nYou have 20 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 2 col 4</think><answer>place 3 at row 2 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 2:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] 3\n-------------\n .  . | [3][1]\n . [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (2,4)\n\nProgress: 11/16 cells filled (10 initial, 1 placed)\nSteps: 1/20\nYou have 19 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 3 col 2</think><answer>place 4 at row 3 col 2</answer>\nuser\nReward:\n1.0\n\nTurn 3:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] 3\n-------------\n .  4 | [3][1]\n . [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 4 at (3,2)\n\nProgress: 12/16 cells filled (10 initial, 2 placed)\nSteps: 2/20\nYou have 18 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 1</think><answer>place 2 at row 3 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 4:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] 3\n-------------\n 2  4 | [3][1]\n . [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (3,1)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 3/20\nYou have 17 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 3 col 1</think><answer>place 2 at row 3 col 1</answer>\nuser\nReward:\n-0.1\n\nTurn 5:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] 3\n-------------\n 2  4 | [3][1]\n . [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u274c Invalid placement: 2 conflicts with row 3, column 1, box (2,1)\n\nProgress: 13/16 cells filled (10 initial, 3 placed)\nSteps: 4/20\nYou have 16 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 3 at row 4 col 1</think><answer>place 3 at row 4 col 1</answer>\nuser\nReward:\n1.0\n\nTurn 6:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] 3\n-------------\n 2  4 | [3][1]\n 3 [1]|  .  .\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 3 at (4,1)\n\nProgress: 14/16 cells filled (10 initial, 4 placed)\nSteps: 5/20\nYou have 15 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 2 at row 4 col 4</think><answer>place 2 at row 4 col 4</answer>\nuser\nReward:\n1.0\n\nTurn 7:\nState:\n==================================================\nSUDOKU PUZZLE\n==================================================\n[1][3]| [2][4]\n[4][2]| [1] 3\n-------------\n 2  4 | [3][1]\n 3 [1]|  .  2\n\nLegend: [N]=initial cell, N=user-placed, *N*=conflict, .=empty\n\n\u2713 Correct! Placed 2 at (4,4)\n\nProgress: 15/16 cells filled (10 initial, 5 placed)\nSteps: 6/20\nYou have 14 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 150 words (tokens).\n\nassistant\n<think>place 4 at row 4 col 3</think><answer>place 4 at row 4 col 3</answer>\n", 15.899999618530273]]}

wandb/run-20260106_143630-otuxsoaq/files/requirements.txt

@@ -0,0 +1,315 @@
+ragen==0.1
+ragen==0.1
+colorama==0.4.6
+psutil==7.1.3
+ragen==0.1
+Farama-Notifications==0.0.4
+MarkupSafe==2.1.5
+PyJWT==2.10.1
+PySocks==1.7.1
+absl-py==2.3.1
+accelerate==1.12.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.13.2
+aiohttp-cors==0.8.1
+aiosignal==1.4.0
+airportsdata==20250909
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anthropic==0.75.0
+antlr4-python3-runtime==4.9.3
+anyio==4.12.0
+astor==0.8.1
+asttokens==3.0.1
+async-timeout==5.0.1
+attrs==25.4.0
+beautifulsoup4==4.14.3
+black==25.11.0
+blake3==1.0.8
+blinker==1.9.0
+blis==1.3.3
+cachetools==6.2.2
+catalogue==2.0.10
+certifi==2025.11.12
+cffi==2.0.0
+charset-normalizer==3.4.4
+cleantext==1.1.4
+click==8.2.1
+cloudpathlib==0.23.0
+cloudpickle==3.1.2
+codetiming==1.4.0
+colorama==0.4.6
+coloredlogs==15.0.1
+colorful==0.5.8
+compressed-tensors==0.9.3
+confection==0.1.5
+contourpy==1.3.2
+cryptography==46.0.3
+cupy-cuda12x==13.6.0
+cycler==0.12.1
+cymem==2.0.13
+Cython==3.2.2
+datasets==4.4.1
+debugpy==1.8.17
+decorator==5.2.1
+Deprecated==1.3.1
+depyf==0.18.0
+dill==0.4.0
+diskcache==5.6.3
+distlib==0.4.0
+distro==1.9.0
+dnspython==2.8.0
+docstring_parser==0.17.0
+einops==0.8.1
+email-validator==2.3.0
+eval_type_backport==0.2.2
+exceptiongroup==1.3.1
+executing==2.2.1
+faiss-gpu==1.7.2
+fastapi==0.123.1
+fastapi-cli==0.0.16
+fastapi-cloud-cli==0.5.2
+fastar==0.8.0
+fastrlock==0.8.3
+filelock==3.19.1
+flash_attn==2.8.3
+Flask==3.1.2
+flatbuffers==25.9.23
+fonttools==4.61.0
+frozenlist==1.8.0
+fsspec==2025.9.0
+gdown==5.2.0
+gguf==0.17.1
+gitdb==4.0.12
+GitPython==3.1.45
+google-api-core==2.28.1
+google-auth==2.43.0
+googleapis-common-protos==1.72.0
+grpcio==1.76.0
+gym==0.26.2
+gym-notices==0.1.0
+gym-sokoban==0.0.6
+gymnasium==1.2.2
+h11==0.16.0
+hf-xet==1.2.0
+html2text==2025.4.15
+httpcore==1.0.9
+httptools==0.7.1
+httpx==0.28.1
+httpx-sse==0.4.3
+huggingface-hub==0.36.0
+humanfriendly==10.0
+hydra-core==1.3.2
+idna==3.11
+ImageIO==2.37.2
+importlib_metadata==8.0.0
+interegular==0.3.3
+ipython==8.37.0
+itsdangerous==2.2.0
+jedi==0.19.2
+Jinja2==3.1.6
+jiter==0.12.0
+joblib==1.5.2
+jsonschema==4.25.1
+jsonschema-specifications==2025.9.1
+kimina-client==0.2.1
+kiwisolver==1.4.9
+lark==1.2.2
+llguidance==0.7.30
+llvmlite==0.44.0
+lm-format-enforcer==0.10.12
+loguru==0.7.3
+Markdown==3.10
+markdown-it-py==4.0.0
+matplotlib==3.10.7
+matplotlib-inline==0.2.1
+mcp==1.22.0
+mdurl==0.1.2
+mistral_common==1.8.6
+mpmath==1.3.0
+msgpack==1.1.2
+msgspec==0.20.0
+multidict==6.7.0
+multiprocess==0.70.18
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+nest-asyncio==1.6.0
+networkx==3.3
+ninja==1.13.0
+nltk==3.9.2
+numba==0.61.2
+numpy==1.26.4
+nvidia-cublas-cu12==12.4.5.8
+nvidia-cuda-cupti-cu12==12.4.127
+nvidia-cuda-nvrtc-cu12==12.4.127
+nvidia-cuda-runtime-cu12==12.4.127
+nvidia-cudnn-cu12==9.1.0.70
+nvidia-cufft-cu12==11.2.1.3
+nvidia-curand-cu12==10.3.5.147
+nvidia-cusolver-cu12==11.6.1.9
+nvidia-cusparse-cu12==12.3.1.170
+nvidia-cusparselt-cu12==0.6.2
+nvidia-nccl-cu12==2.21.5
+nvidia-nvjitlink-cu12==12.4.127
+nvidia-nvtx-cu12==12.4.127
+omegaconf==2.3.0
+onnxruntime==1.23.2
+openai==2.8.1
+opencensus==0.11.4
+opencensus-context==0.1.3
+opencv-python-headless==4.12.0.88
+opentelemetry-api==1.38.0
+opentelemetry-exporter-otlp==1.26.0
+opentelemetry-exporter-otlp-proto-common==1.26.0
+opentelemetry-exporter-otlp-proto-grpc==1.26.0
+opentelemetry-exporter-otlp-proto-http==1.26.0
+opentelemetry-exporter-prometheus==0.59b0
+opentelemetry-proto==1.26.0
+opentelemetry-sdk==1.38.0
+opentelemetry-semantic-conventions==0.59b0
+opentelemetry-semantic-conventions-ai==0.4.13
+orjson==3.11.4
+outlines==0.1.11
+outlines_core==0.1.26
+packaging==25.0
+pandas==2.3.3
+parso==0.8.5
+partial-json-parser==0.2.1.1.post7
+pathspec==0.12.1
+peft==0.18.0
+pexpect==4.9.0
+pillow==11.3.0
+pip==25.3
+platformdirs==4.5.0
+preshed==3.0.12
+prometheus_client==0.23.1
+prometheus-fastapi-instrumentator==7.1.0
+prompt_toolkit==3.0.52
+propcache==0.4.1
+proto-plus==1.26.1
+protobuf==4.25.8
+psutil==7.1.3
+ptyprocess==0.7.0
+pure_eval==0.2.3
+py-cpuinfo==9.0.0
+py-spy==0.4.1
+pyarrow==22.0.0
+pyasn1==0.6.1
+pyasn1_modules==0.4.2
+pybind11==3.0.1
+pycountry==24.6.1
+pycparser==2.23
+pydantic==2.12.5
+pydantic_core==2.41.5
+pydantic-extra-types==2.10.6
+pydantic-settings==2.12.0
+pygame==2.6.1
+Pygments==2.19.2
+pyjnius==1.7.0
+pylatexenc==2.10
+pyparsing==3.2.5
+pyserini==1.2.0
+python-dateutil==2.9.0.post0
+python-dotenv==1.2.1
+python-json-logger==4.0.0
+python-multipart==0.0.20
+pytokens==0.3.0
+pytz==2025.2
+PyYAML==6.0.3
+pyzmq==27.1.0
+ragen==0.1
+rank-bm25==0.2.2
+RapidFuzz==3.14.3
+ray==2.52.1
+referencing==0.37.0
+regex==2025.11.3
+requests==2.32.5
+rich==14.2.0
+rich-toolkit==0.17.0
+rignore==0.7.6
+rpds-py==0.30.0
+rsa==4.9.1
+safetensors==0.7.0
+scikit-learn==1.7.2
+scipy==1.15.3
+sentencepiece==0.2.1
+sentry-sdk==2.46.0
+setuptools==80.9.0
+shellingham==1.5.4
+six==1.17.0
+smart_open==7.5.0
+smmap==5.0.2
+sniffio==1.3.1
+soupsieve==2.8
+spacy==3.8.11
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.2
+sse-starlette==3.0.3
+stack-data==0.6.3
+starlette==0.50.0
+sympy==1.13.1
+tabulate==0.9.0
+tenacity==9.1.2
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+tensordict==0.8.3
+thefuzz==0.22.1
+thinc==8.3.10
+threadpoolctl==3.6.0
+tiktoken==0.12.0
+together==1.5.31
+tokenizers==0.22.1
+tomli==2.3.0
+torch==2.6.0+cu124
+torchaudio==2.6.0
+torchdata==0.11.0
+torchvision==0.21.0
+tqdm==4.67.1
+traitlets==5.14.3
+transformers==4.57.3
+triton==3.2.0
+typer==0.19.2
+typer-slim==0.20.0
+typing_extensions==4.15.0
+typing-inspection==0.4.2
+tzdata==2025.2
+urllib3==2.5.0
+uvicorn==0.38.0
+uvloop==0.22.1
+verl==0.5.0.dev0
+virtualenv==20.35.4
+vllm==0.8.5
+wandb==0.23.0
+wasabi==1.1.3
+watchfiles==1.1.1
+wcwidth==0.2.14
+weasel==0.4.3
+websockets==15.0.1
+Werkzeug==3.1.4
+wheel==0.45.1
+wrapt==2.0.1
+xformers==0.0.29.post2
+xgrammar==0.1.18
+xxhash==3.6.0
+yarl==1.22.0
+zipp==3.23.0
+typeguard==4.4.4
+tyro==1.0.3
+verl==0.5.0.dev0
+autocommand==2.2.2
+backports.tarfile==1.2.0
+importlib_metadata==8.0.0
+inflect==7.3.1
+jaraco.collections==5.1.0
+jaraco.context==5.3.0
+jaraco.functools==4.0.1
+jaraco.text==3.12.1
+more-itertools==10.3.0
+packaging==24.2
+platformdirs==4.2.2
+tomli==2.0.1
+typeguard==4.3.0
+typing_extensions==4.12.2
+wheel==0.45.1
+zipp==3.19.2

wandb/run-20260106_143630-otuxsoaq/files/wandb-metadata.json

@@ -0,0 +1,107 @@
+{
+  "os": "Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.10.19",
+  "startedAt": "2026-01-06T06:36:30.396745Z",
+  "args": [
+    "--node-ip-address=10.119.21.250",
+    "--node-manager-port=32991",
+    "--object-store-name=/tmp/ray/session_2026-01-06_14-34-31_358990_482749/sockets/plasma_store",
+    "--raylet-name=/tmp/ray/session_2026-01-06_14-34-31_358990_482749/sockets/raylet",
+    "--redis-address=None",
+    "--metrics-agent-port=59867",
+    "--logging-rotate-bytes=536870912",
+    "--logging-rotate-backup-count=5",
+    "--runtime-env-agent-port=36730",
+    "--gcs-address=10.119.21.250:49891",
+    "--session-name=session_2026-01-06_14-34-31_358990_482749",
+    "--temp-dir=/tmp/ray",
+    "--webui=127.0.0.1:8265",
+    "--cluster-id=7f65ed57b9de114af5d7e7c4cd7f03bb5cef21ae5f5739bb03543d61",
+    "--startup-token=112",
+    "--worker-launch-time-ms=1767681284428",
+    "--node-id=babe569f7f5b7e51ef074227b1c71931aead17be6e713a0eb761c43d",
+    "--runtime-env-hash=-839022692"
+  ],
+  "program": "/root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py",
+  "git": {
+    "remote": "https://github.com/mll-lab-nu/RAGEN.git",
+    "commit": "8d73639b99b38265453f898b8d6af7d4af50d56e"
+  },
+  "email": "haoyu-wa22@mails.tsinghua.edu.cn",
+  "root": "/mnt/general/wanghy/RAGEN",
+  "host": "pt-a70f673da55546deb67ad61083acedf4-worker-0",
+  "executable": "/root/local/miniconda3/envs/ragen/bin/python",
+  "cpu_count": 64,
+  "cpu_count_logical": 128,
+  "gpu": "NVIDIA H100 80GB HBM3",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "5153960755200",
+      "used": "348643328"
+    }
+  },
+  "memory": {
+    "total": "2163639439360"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-440f8d03-dc48-3114-8fc0-a26d12087053"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-9b5c5610-e6ac-4cb1-072c-5e36acc62989"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-41bbccb0-8306-5d0b-7759-7651400074c7"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-89257553-fe8d-b14b-76dc-7785bb1b1123"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-72f3a558-f859-c69a-3372-9a4affa39bc2"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-9e9c0d44-3289-ee01-598f-8db8d8b229c9"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-54030121-41d5-db29-1f91-7cc6fd1d192f"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-fd81d1da-3dff-56f1-642c-2d2aaf70f6d5"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "aktgp0jpp5h0kvryiywss3hoe795cn9q"
+}

wandb/run-20260106_143630-otuxsoaq/files/wandb-summary.json

@@ -0,0 +1 @@
+{"train/SimpleSudoku/steps_remaining":14.162927827380953,"train/SimpleSudoku/non-zero/steps_remaining":14.162927827380953,"response_length/clip_ratio":0.03125,"val-aux/unknown/reward/worst@64/std":4.908229459079764,"timing_per_token_ms/update_critic":0.02840355729580681,"response_length/mean":1781.84375,"val-aux/unknown/reward/worst@8/std":5.930739541483174,"actor/lr":1e-06,"val-core/unknown/reward/best@512/mean":16.395899909973146,"critic/advantages/max":3.029613494873047,"train/SimpleSudoku/cells_remaining":2.213895089285714,"val-env/SimpleSudoku/episodic_return":0,"train/SimpleSudoku/correct_placement":0.8475632440476191,"rollout/chosen_in_group_reward_mean":15.056249618530273,"val-aux/unknown/reward/best@2/mean":15.971799968719482,"timing_s/update_critic":1.6195708370069042,"val-aux/unknown/reward/best@64/std":0.16439092991761212,"critic/values/mean":14.158599853515625,"critic/grad_norm":53.64764404296875,"critic/returns/min":1.8999996185302734,"timing_per_token_ms/values":0.00714429970270448,"val-aux/unknown/reward/worst@2/mean":14.899599871098996,"val-env/SimpleSudoku/non-zero/cells_filled":12.54150432900433,"rollout/in_group_reward_max":16.049999237060547,"val-aux/unknown/reward/worst@32/mean":6.243599998474121,"critic/lr":1e-05,"timing_per_token_ms/update_actor":0.03167082376252848,"global_seqlen/max":9433,"rollout/ref_log_prob":-0.14615386724472046,"val-aux/unknown/reward/worst@4/mean":14.07119983458519,"train/SimpleSudoku/non-zero/action_is_effective":0.8835658482142857,"critic/vf_clipfrac":0,"val-aux/unknown/reward/worst@2/std":3.698088640902334,"rollout/in_group_reward_mean":15.700780868530273,"val-core/unknown/reward/mean@512":15.501757736201398,"critic/vf_explained_var":0.4899575114250183,"timing_per_token_ms/ref":0.04863114759681393,"val-env/SimpleSudoku/cells_remaining":2.3316310425685423,"critic/values/max":16.75,"val-aux/unknown/reward/worst@512/mean":0.10369999676942826,"_wandb":{"runtime":137},"critic/score/max":16.399999618530273,"train/charts/avg_episode_return":0,"val-aux/unknown/reward/worst@256/std":0.7552839919002915,"critic/returns/max":16.399999618530273,"train/SimpleSudoku/episodic_return":0,"val-env/SimpleSudoku/raw_reward":0,"val-aux/unknown/reward/worst@64/mean":3.029900014460087,"val-aux/unknown/reward/worst@128/std":1.677969379025348,"_timestamp":1.7676815288412716e+09,"val-env/SimpleSudoku/pass@16":1,"val-aux/unknown/reward/best@128/mean":16.200000015258787,"val-aux/unknown/reward/worst@16/mean":9.774999929904938,"prompt_length/min":0,"val-aux/unknown/reward/best@8/std":0.0789873273078511,"val-env/SimpleSudoku/correct_placement":0.9263583096590909,"rollout/chosen_in_group_max":16.200000762939453,"rollout/in_group_max":16.049999237060547,"response_length_non_aborted/min":1432,"timing_per_token_ms/gen":0.18304280562589903,"timing_s/adv":0.19541859906166792,"val-env/SimpleSudoku/non-zero/num_actions":6.80859375,"val-aux/unknown/reward/worst@8/mean":12.626599849402904,"perf/max_memory_reserved_gb":68.166015625,"val-aux/unknown/reward/best@4/mean":16.0085,"response_length_non_aborted/max":4650,"perf/throughput":100.13517581534335,"val-env/SimpleSudoku/valid_numbers":0,"prompt_length/max":1,"_runtime":137.190578227,"val-env/response_length":244.109375,"val-aux/unknown/reward/best@64/mean":16.108100044250488,"response_length/max":4650,"train/SimpleSudoku/error":0,"rollout/chosen_in_group_mean":15.056249618530273,"timing_s/gen":10.436917733983137,"val-aux/unknown/reward/best@2/std":0.5563674771260424,"val-env/SimpleSudoku/non-zero/pass@16":1,"rollout/chosen_in_group_reward_std":2.2751970291137695,"val-env/SimpleSudoku/success":0.966796875,"val-env/SimpleSudoku/error":0,"val-aux/unknown/reward/best@8/mean":16.019000005722045,"val-aux/unknown/reward/best@256/mean":16.299999984741213,"train/SimpleSudoku/non-zero/success":1,"train/SimpleSudoku/action_is_valid":0.8835658482142857,"val-aux/unknown/reward/best@128/std":0.19308020685267588,"critic/returns/mean":14.364373207092285,"global_seqlen/mean":7127.5,"response/aborted_ratio":0,"timing_s/values":0.4073679690482095,"critic/vpred_mean":12.958436608314514,"actor/ppo_kl":0,"critic/score/min":1.899999976158142,"global_seqlen/balanced_max":9198,"rollout/chosen_in_group_std":2.2751970291137695,"critic/rewards/mean":15.056249618530273,"train/SimpleSudoku/raw_reward":0,"perf/cpu_memory_used_gb":119.99951553344727,"response_length/min":1432,"train/SimpleSudoku/success":0.9921875,"prompt_length/clip_ratio":0.03125,"train/SimpleSudoku/non-zero/pass@16":1,"rollout/in_group_mean":15.700780868530273,"val-aux/unknown/reward/best@32/std":0.13077979414636492,"prompt_length/mean":0.03125,"critic/advantages/mean":-1.4351841493009942e-08,"perf/total_num_tokens":57020,"perf/time_per_step":71.17878349905368,"timing_s/old_log_prob":0.7921163709834218,"train/SimpleSudoku/pass@16":1,"train/SimpleSudoku/action_is_effective":0.8835658482142857,"critic/values/min":3.625,"val-env/SimpleSudoku/non-zero/steps_remaining":15.14501474003427,"val-env/SimpleSudoku/action_is_effective":0.9295709607233045,"val-aux/unknown/reward/best@16/std":0.10119638653155821,"train/SimpleSudoku/non-zero/cells_remaining":2.213895089285714,"rollout/in_group_reward_std":0.633465051651001,"val-env/SimpleSudoku/action_is_valid":0.9295709607233045,"timing_s/save_checkpoint":31.280161814996973,"critic/advantages/min":-5.28885555267334,"val-aux/unknown/reward/worst@32/std":6.76734801706077,"val-aux/unknown/reward/best@16/mean":16.032700016021728,"response_length_non_aborted/clip_ratio":0.03125,"val-aux/unknown/reward/worst@128/mean":0.9373999997973442,"actor/entropy":0.045389268547296524,"val-env/SimpleSudoku/num_actions":6.80859375,"timing_s/update_actor":1.805870370939374,"global_seqlen/min":6452,"actor/pg_clipfrac_lower":0,"timing_s/ref":2.7729480359703302,"val-aux/unknown/reward/best@32/mean":16.06080002593994,"timing_s/testing":21.86468750203494,"val-env/SimpleSudoku/non-zero/correct_placement":0.9263583096590909,"val-aux/unknown/reward/best@4/std":0.05583681171279398,"val-env/SimpleSudoku/non-zero/success":1,"actor/pg_clipfrac":0,"rollout/chosen_in_group_reward_max":16.200000762939453,"actor/grad_norm":0.5319660305976868,"train/SimpleSudoku/num_actions":7,"train/SimpleSudoku/non-zero/action_is_valid":0.8835658482142857,"val-aux/unknown/reward/best@256/std":0.18220856690415457,"val/generations":{"ncols":61,"sha256":"b71ab586c583ce9087820def77a37eab0804827a95814bc804c0a179e091ee04","log_mode":"IMMUTABLE","size":194303,"_type":"table-file","path":"media/table/val/generations_200_b71ab586c583ce908782.table.json","nrows":2,"artifact_path":"wandb-client-artifact://8q1ffiuzbtzmbn4xkycisbqx0dg6rz2l4h0w8770rty41stpr5ehwq71o5lqanp4m1m5n8zdrp6rmn8jbd0rb34gy9w3elwq5b6cvlexil8m3zeawdyc2rs7oqxfdzdi/val/generations.table.json","_latest_artifact_path":"wandb-client-artifact://bbs9zjl1jodj75aquo61q299xcoz01dvazdpu1ygjaowp3lx4ejjep6bcyucooafrbxij4e89ixs2kdsml676m0wfbggeqsa4g98yyvid5kxxoavauguew4h2l2xd08z:latest/val/generations.table.json"},"train/SimpleSudoku/non-zero/correct_placement":0.8475632440476191,"rollout/in_group_std":0.633465051651001,"val-env/SimpleSudoku/non-zero/cells_remaining":2.3316310425685423,"global_seqlen/balanced_min":6713,"val-aux/unknown/reward/worst@16/std":7.019763117009639,"val-env/SimpleSudoku/non-zero/action_is_valid":0.9295709607233045,"timing_per_token_ms/adv":0.0034271939505729205,"timing_s/step":71.17878349905368,"val-core/unknown/reward/best@512/std":0.13708824019539956,"_step":201,"perf/max_memory_allocated_gb":56.751911640167236,"val-aux/unknown/reward/worst@4/std":4.755635602026984,"val-env/SimpleSudoku/non-zero/action_is_effective":0.9295709607233045,"val-aux/unknown/reward/worst@512/std":0.5324625076716347,"val-env/SimpleSudoku/cells_filled":12.54150432900433,"val-aux/unknown/reward/std@512":2.5365794168887175,"timing_s/total":71.18183469772339,"critic/vf_loss":1.5416466265451163,"train/SimpleSudoku/valid_numbers":0,"train/SimpleSudoku/cells_filled":11.923158482142858,"actor/pg_loss":0.11029611062258482,"critic/rewards/min":1.899999976158142,"critic/rewards/max":16.399999618530273,"global_seqlen/minmax_diff":2981,"val-env/charts/avg_episode_return":0,"critic/score/mean":15.056249618530273,"train/SimpleSudoku/non-zero/num_actions":7,"val-env/SimpleSudoku/steps_remaining":15.14501474003427,"perf/mfu/actor":0.0895198036806359,"train/response_length":250.9921875,"val-aux/unknown/reward/worst@256/mean":0.414700001001358,"train/SimpleSudoku/non-zero/cells_filled":11.923158482142858,"perf/mfu/critic":0.10064597205843868,"response_length_non_aborted/mean":1781.84375}

wandb/run-20260108_235139-g5kfjsa9/files/config.yaml

@@ -0,0 +1,964 @@
+_wandb:
+    value:
+        cli_version: 0.23.0
+        e:
+            xi5qg8tjwltaegv0fu90hgldr4a562vl:
+                args:
+                    - --node-ip-address=10.119.20.189
+                    - --node-manager-port=38081
+                    - --object-store-name=/tmp/ray/session_2026-01-08_23-49-46_932368_65/sockets/plasma_store
+                    - --raylet-name=/tmp/ray/session_2026-01-08_23-49-46_932368_65/sockets/raylet
+                    - --redis-address=None
+                    - --metrics-agent-port=60448
+                    - --logging-rotate-bytes=536870912
+                    - --logging-rotate-backup-count=5
+                    - --runtime-env-agent-port=54899
+                    - --gcs-address=10.119.20.189:46811
+                    - --session-name=session_2026-01-08_23-49-46_932368_65
+                    - --temp-dir=/tmp/ray
+                    - --webui=127.0.0.1:8265
+                    - --cluster-id=edd5629245afa8f69e0d8084b778c0e836f0769e833f1d0084bf4cdd
+                    - --startup-token=112
+                    - --worker-launch-time-ms=1767887391433
+                    - --node-id=5e3f8d92ed3a2887c70cd9cf48df553e4f3a7425f1b9c2cda7d963bb
+                    - --runtime-env-hash=-839022692
+                cpu_count: 64
+                cpu_count_logical: 128
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "5153960755200"
+                        used: "3276800"
+                email: haoyu-wa22@mails.tsinghua.edu.cn
+                executable: /root/local/miniconda3/envs/ragen/bin/python
+                git:
+                    commit: 8d73639b99b38265453f898b8d6af7d4af50d56e
+                    remote: https://github.com/mll-lab-nu/RAGEN.git
+                gpu: NVIDIA H100 80GB HBM3
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-3ebd2ec2-5447-6ad4-1fad-6ad0f47a34d6
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-401a97a6-2a36-f2e5-32bb-cd811faa5158
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-f338aa0d-9c1f-d3ec-67d1-b5f1366998f3
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-fa57cb85-0b38-8b16-1903-34a95133a200
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-dd1e1f32-8c83-632c-3d8c-7cf29bb217e9
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-273e0074-936f-4c69-a403-a2e517c8e241
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-4e42eb00-3b8c-dd58-460d-0dcb0a1b8f48
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-da40b82f-9f6a-16c6-23f6-190dda8d55e2
+                host: pt-be01d03ddf634bda98d999674028d909-worker-0
+                memory:
+                    total: "2163639435264"
+                os: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35
+                program: /root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py
+                python: CPython 3.10.19
+                root: /mnt/general/wanghy/RAGEN
+                startedAt: "2026-01-08T15:51:39.465032Z"
+                writerId: xi5qg8tjwltaegv0fu90hgldr4a562vl
+        m: []
+        python_version: 3.10.19
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
+                - 95
+                - 97
+                - 98
+                - 105
+            "2":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
+                - 95
+                - 97
+                - 98
+                - 105
+            "3":
+                - 2
+                - 13
+                - 16
+                - 61
+            "4": 3.10.19
+            "5": 0.23.0
+            "6": 4.57.3
+            "12": 0.23.0
+            "13": linux-x86_64
+actor_rollout_ref:
+    value:
+        actor:
+            _target_: verl.workers.config.FSDPActorConfig
+            checkpoint:
+                _target_: verl.trainer.config.CheckpointConfig
+                async_save: false
+                load_contents:
+                    - model
+                    - optimizer
+                    - extra
+                save_contents:
+                    - model
+                    - optimizer
+                    - extra
+            clip_ratio: 0.2
+            clip_ratio_c: 3
+            clip_ratio_high: 0.28
+            clip_ratio_low: 0.2
+            entropy_checkpointing: false
+            entropy_coeff: 0.001
+            entropy_from_logits_with_chunking: false
+            freeze_vision_tower: false
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            grad_clip: 1
+            grpo_advantage_length_weight: false
+            kl_loss_coef: 0
+            kl_loss_type: kl
+            loss_agg_mode: token-mean
+            optim:
+                _target_: verl.workers.config.FSDPOptimizerConfig
+                betas:
+                    - 0.9
+                    - 0.999
+                clip_grad: 1
+                lr: 1e-06
+                lr_warmup_steps: -1
+                lr_warmup_steps_ratio: 0
+                min_lr_ratio: 0
+                num_cycles: 0.5
+                total_training_steps: 100
+                warmup_style: constant
+                weight_decay: 0.01
+            policy_loss:
+                _target_: verl.workers.config.PolicyLossConfig
+                clip_cov_lb: 1
+                clip_cov_ratio: 0.0002
+                clip_cov_ub: 5
+                kl_cov_ratio: 0.0002
+                loss_mode: vanilla
+                ppo_kl_coef: 0.1
+            ppo_epochs: 1
+            ppo_max_token_len_per_gpu: 16384
+            ppo_micro_batch_size: null
+            ppo_micro_batch_size_per_gpu: 1
+            ppo_mini_batch_size: 32
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            shuffle: false
+            strategy: fsdp
+            tis_imp_ratio_cap: -1
+            ulysses_sequence_parallel_size: 1
+            use_dynamic_bsz: false
+            use_fused_kernels: false
+            use_kl_loss: false
+            use_ref: true
+            use_remove_padding: false
+            use_torch_compile: true
+        hybrid_engine: true
+        model:
+            _target_: verl.workers.config.HFModelConfig
+            custom_chat_template: null
+            enable_activation_offload: false
+            enable_gradient_checkpointing: true
+            exclude_modules: null
+            external_lib: null
+            fused_kernel_options:
+                impl_backend: torch
+            hf_config_path: null
+            lora_alpha: 16
+            lora_rank: 0
+            path: /mnt/general/share/model/Qwen/Qwen2.5-3B-Instruct
+            target_modules: all-linear
+            tokenizer_path: null
+            torch_dtype: bfloat16
+            trust_remote_code: false
+            use_fused_kernels: false
+            use_liger: false
+            use_remove_padding: false
+            use_shm: false
+        nccl_timeout: 600
+        ref:
+            entropy_checkpointing: false
+            entropy_from_logits_with_chunking: false
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            log_prob_max_token_len_per_gpu: 16384
+            log_prob_micro_batch_size: null
+            log_prob_micro_batch_size_per_gpu: 1
+            log_prob_use_dynamic_bsz: false
+            model: null
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            strategy: fsdp
+            ulysses_sequence_parallel_size: 1
+            use_torch_compile: true
+        rollout:
+            _target_: verl.workers.config.RolloutConfig
+            agent:
+                _target_: verl.workers.config.AgentLoopConfig
+                agent_loop_config_path: null
+                custom_async_server:
+                    _target_: verl.workers.config.CustomAsyncServerConfig
+                    name: null
+                    path: null
+                num_workers: 8
+            calculate_log_probs: false
+            cudagraph_capture_sizes: null
+            data_parallel_size: 1
+            disable_log_stats: true
+            do_sample: true
+            dtype: bfloat16
+            enable_chunked_prefill: true
+            enable_prefix_caching: true
+            enforce_eager: true
+            expert_parallel_size: 1
+            free_cache_engine: true
+            gpu_memory_utilization: 0.7
+            ignore_eos: false
+            layered_summon: false
+            load_format: dummy
+            log_prob_max_token_len_per_gpu: 16384
+            log_prob_micro_batch_size: null
+            log_prob_micro_batch_size_per_gpu: 1
+            log_prob_use_dynamic_bsz: false
+            max_model_len: 16384
+            max_num_batched_tokens: 16384
+            max_num_seqs: 1024
+            mode: sync
+            multi_stage_wake_up: false
+            multi_turn:
+                _target_: verl.workers.config.MultiTurnConfig
+                enable: false
+                format: hermes
+                interaction_config_path: null
+                max_assistant_turns: null
+                max_parallel_calls: 1
+                max_tool_response_length: 256
+                max_user_turns: null
+                num_repeat_rollouts: null
+                tokenization_sanity_check_mode: strict
+                tool_config_path: null
+                tool_response_truncate_side: middle
+                use_inference_chat_template: false
+            "n": 1
+            name: vllm
+            over_sample_rate: 0
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            prompt_length: 1
+            response_length: 500
+            rollout_filter_metric: reward_variance
+            rollout_filter_ratio: 0.25
+            rollout_filter_type: largest
+            skip_dump_dir: /tmp/rollout_dump
+            skip_rollout: false
+            skip_tokenizer_init: true
+            temperature: 1
+            tensor_model_parallel_size: 1
+            top_k: -1
+            top_p: 1
+            trace:
+                _target_: verl.workers.config.TraceConfig
+                backend: null
+                token2text: false
+            update_weights_bucket_megabytes: 512
+            val_kwargs:
+                _target_: verl.workers.config.SamplingConfig
+                do_sample: true
+                "n": 1
+                temperature: 0.5
+                top_k: -1
+                top_p: 1
+agent_proxy:
+    value:
+        action_sep: '||'
+        enable_think: true
+        max_actions_per_turn: 1
+        max_context_window: -1
+        max_turn: 1
+        reward_normalization:
+            grouping: state
+            method: identity
+        use_turn_scores: false
+algorithm:
+    value:
+        _target_: verl.trainer.config.AlgoConfig
+        adv_estimator: gae
+        bi_level_gae: false
+        gamma: 1
+        high_level_gamma: 0.95
+        kl_ctrl:
+            _target_: verl.trainer.config.KLControlConfig
+            horizon: 10000
+            kl_coef: 0
+            target_kl: 0.1
+            type: fixed
+        kl_penalty: kl
+        lam: 1
+        norm_adv_by_std_in_grpo: true
+        pf_ppo:
+            reweight_method: pow
+            weight_pow: 2
+        use_kl_in_reward: false
+        use_pf_ppo: false
+critic:
+    value:
+        _target_: verl.workers.config.FSDPCriticConfig
+        checkpoint:
+            _target_: verl.trainer.config.CheckpointConfig
+            async_save: false
+            load_contents:
+                - model
+                - optimizer
+                - extra
+            save_contents:
+                - model
+                - optimizer
+                - extra
+        cliprange_value: 0.5
+        enable: null
+        forward_max_token_len_per_gpu: 32768
+        forward_micro_batch_size: null
+        forward_micro_batch_size_per_gpu: 1
+        grad_clip: 1
+        loss_agg_mode: token-mean
+        model:
+            _target_: verl.workers.config.FSDPCriticModelCfg
+            enable_activation_offload: false
+            enable_gradient_checkpointing: true
+            external_lib: null
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            lora_alpha: 16
+            lora_rank: 0
+            path: /mnt/general/share/model/Qwen/Qwen2.5-3B-Instruct
+            target_modules: all-linear
+            tokenizer_path: /mnt/general/share/model/Qwen/Qwen2.5-3B-Instruct
+            trust_remote_code: false
+            use_remove_padding: false
+            use_shm: false
+        optim:
+            _target_: verl.workers.config.FSDPOptimizerConfig
+            betas:
+                - 0.9
+                - 0.999
+            clip_grad: 1
+            lr: 1e-05
+            lr_warmup_steps: -1
+            lr_warmup_steps_ratio: 0
+            min_lr_ratio: 0
+            num_cycles: 0.5
+            total_training_steps: 100
+            warmup_style: constant
+            weight_decay: 0.01
+        ppo_epochs: 1
+        ppo_max_token_len_per_gpu: 32768
+        ppo_micro_batch_size: null
+        ppo_micro_batch_size_per_gpu: 1
+        ppo_mini_batch_size: 32
+        profiler:
+            _target_: verl.utils.profiler.ProfilerConfig
+            all_ranks: false
+            enable: false
+            ranks: []
+            save_path: outputs/profile
+            tool: null
+            tool_config:
+                npu:
+                    _target_: verl.utils.profiler.config.NPUToolConfig
+                    analysis: true
+                    contents: []
+                    discrete: false
+                    level: level1
+                nsys:
+                    _target_: verl.utils.profiler.config.NsightToolConfig
+                    discrete: false
+                torch:
+                    _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                    step_end: null
+                    step_start: 0
+                torch_memory:
+                    _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                    stack_depth: 32
+                    trace_alloc_max_entries: 100000
+        rollout_n: 1
+        shuffle: false
+        strategy: fsdp
+        ulysses_sequence_parallel_size: 1
+        use_dynamic_bsz: false
+ctx_manager:
+    value:
+        generation:
+            gen_config:
+                kwargs: null
+                response_length: 500
+                temperature: 1
+                top_k: -1
+                top_p: 1
+custom_envs:
+    value:
+        Bandit:
+            env_config:
+                split: train
+            env_instruction: ""
+            env_type: bandit
+            max_actions_per_traj: 1
+            max_tokens: 100
+        BanditTest:
+            env_config:
+                split: test
+            env_instruction: ""
+            env_type: bandit
+            max_actions_per_traj: 1
+            max_tokens: 100
+        CoordFrozenLake:
+            env_config:
+                observation_format: grid_coord
+            env_instruction: |
+                You are solving the FrozenLake puzzle. The observation includes both a symbol grid and zero-indexed coordinates for the start, goal, player, and any holes.
+                Coordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5).
+                Beware that the ice is slippery, so the agent might slide and end up in an unintended tile.
+                Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
+            env_type: frozen_lake
+            max_actions_per_traj: 25
+            max_tokens: 120
+        CoordSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 2
+                observation_format: grid_coord
+            env_instruction: "You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets.\nYou are provided with a symbol grid and the zero-indexed coordinates of the player, each box, and each target. \nCoordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5). \nWhen you are exactly next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box.\nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>.\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 120
+        Countdown:
+            env_config: null
+            env_instruction: 'You are solving the Countdown puzzle. You should use the num list to create an equation that equals the target. Example answer format: <think> To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3 = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
+            env_type: countdown
+            max_actions_per_traj: 1
+            max_tokens: 100
+        FrozenLake:
+            env_config: null
+            env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and go to the target. You may move to the unintended direction due to the slippery ice. Example answer format: <think>To forbid the hole and go to the target, I should go left then go up.</think><answer>Left || Up</answer>'
+            env_type: frozen_lake
+            max_actions_per_traj: 25
+            max_tokens: 100
+        LargerSokoban:
+            env_config:
+                dim_x: 8
+                dim_y: 8
+                max_steps: 100
+                num_boxes: 2
+                search_depth: 10
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        Lean:
+            env_config: null
+            env_instruction: You are a Lean theorem prover. Given a Lean theorem statement, propose a sequence of tactics that completes the proof. Think step by step about which tactics to apply next. Provide tactics separated by '||', for example <answer>intro || simp || rfl</answer>.
+            env_type: lean
+            max_actions_per_traj: 30
+            max_tokens: 512
+        MediumSudoku:
+            env_config:
+                difficulty: medium
+                grid_size: 9
+                max_steps: 81
+                render_format: with_feedback
+                show_conflicts: true
+                show_valid_numbers: true
+            env_instruction: |
+                You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 3x3 box contains the numbers 1-9 without repetition.
+                Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
+                Place numbers one at a time using the format: <answer>place 5 at row 2 col 3</answer> or <answer>2,3,5</answer>
+                The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
+            env_type: sudoku
+            max_actions_per_traj: 30
+            max_tokens: 150
+            max_workers: 32
+            parallel_friendly: false
+        MetamathQA:
+            env_config: null
+            env_instruction: 'You are solving Math problems. '
+            env_type: metamathqa
+            max_actions_per_traj: 1
+            max_tokens: 100
+        SimpleSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 2
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        SimpleSudoku:
+            env_config:
+                difficulty: easy
+                grid_size: 4
+                max_steps: 20
+                render_format: with_feedback
+                show_conflicts: false
+                show_valid_numbers: false
+            env_instruction: |
+                You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.
+                Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
+                Place numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>
+                The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
+            env_type: sudoku
+            max_actions_per_traj: 20
+            max_tokens: 150
+            max_workers: 32
+            parallel_friendly: false
+        SokobanDifferentGridVocab:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                grid_lookup:
+                    "0": W
+                    "1": .
+                    "2": G
+                    "3": C
+                    "4": B
+                    "5": A
+                    "6": '@'
+                grid_vocab:
+                    .: empty
+                    '@': player on target
+                    A: player
+                    B: box
+                    C: box on target
+                    G: target
+                    W: wall
+                max_steps: 100
+                num_boxes: 1
+                search_depth: 30
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        VisualSimpleSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 1
+                render_mode: rgb_array
+            env_instruction: You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets. When you are right next to a box, you can push it by moving in the same direction. You cannot push a box through a wall, and you cannot pull a box. The answer should be a sequence of actions, like <answer>Right || Right || Up</answer>
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        WebShop:
+            env_config:
+                dataset: small
+            env_instruction: 'You are browsing an online shop. Based on the instruction, buy a product that close to the production description. You need to search, read the search results, pick a product, choose the size and color and buy. You should only choose action from the available actions list provided later.  Example process: I need a gingko light and 20x20 pillow cover that is hand painted. First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
+            env_type: webshop
+            max_actions_per_traj: 9
+            max_tokens: 200
+        blackjack:
+            env_config: null
+            env_instruction: |
+                You are playing Blackjack against a dealer. The dealer must hit on 16 or less and stand on 17 or more.
+                Choose either Stick or Hit. Respond with a single action.
+                Example: <answer>Hit</answer>
+            env_type: blackjack
+            max_actions_per_traj: 10
+            max_tokens: 64
+        game_2048:
+            env_config: null
+            env_instruction: |
+                You are playing the 2048 game on a 4x4 grid. Merge equal tiles by sliding Up, Right, Down, or Left.
+                If a move is invalid (no tiles move), a small penalty is applied. Respond with a single action.
+                Example: <answer>Up</answer>
+            env_type: game_2048
+            max_actions_per_traj: 700
+            max_tokens: 8192
+        rubikscube:
+            env_config:
+                max_steps: 20
+                render_mode: text
+                scramble_depth: 3
+            env_instruction: |
+                You are solving a 2x2 Rubik's Cube (Pocket Cube). The goal is to restore the cube so that each of the faces consists of a single, unique color.
+                Available actions use standard Singmaster notation for face rotations: U, U', D, D', L, L', R, R', F, F', B, B'.
+                - Faces: U (Up), D (Down), L (Left), R (Right), F (Front), B (Back).
+                - Modifiers: A letter alone means 90° clockwise (e.g., 'R'). A letter with prime (') means 90° counter-clockwise (e.g., "R'").
+                Respond with a sequence of actions separated by "||".
+                Example: <answer>U</answer>
+            env_type: rubikscube
+            max_actions_per_traj: 20
+            max_tokens: 96
+custom_reward_function:
+    value:
+        name: compute_score
+        path: null
+data:
+    value:
+        custom_cls:
+            name: null
+            path: null
+        datagen:
+            name: null
+            path: null
+        dataloader_num_workers: 8
+        filter_overlong_prompts: false
+        filter_overlong_prompts_workers: 1
+        image_key: images
+        max_prompt_length: null
+        max_response_length: null
+        prompt_key: prompt
+        return_full_prompt: false
+        return_multi_modal_inputs: true
+        return_raw_chat: false
+        return_raw_input_ids: false
+        reward_fn_key: data_source
+        sampler:
+            class_name: null
+            class_path: null
+        shuffle: true
+        tokenizer: null
+        train_batch_size: 128
+        train_files: ~/data/rlhf/gsm8k/train.parquet
+        truncation: error
+        trust_remote_code: false
+        use_shm: false
+        val_batch_size: null
+        val_files: ~/data/rlhf/gsm8k/test.parquet
+        validation_shuffle: false
+        video_key: videos
+enable_response_mask:
+    value: true
+es_manager:
+    value:
+        format_penalty: -0.1
+        train:
+            env_configs:
+                n_groups:
+                    - 8
+                tags:
+                    - Bandit
+            env_groups: 8
+            group_size: 16
+        val:
+            env_configs:
+                n_groups:
+                    - 256
+                    - 256
+                tags:
+                    - Bandit
+                    - BanditTest
+            env_groups: 512
+            group_size: 1
+global_profiler:
+    value:
+        _target_: verl.utils.profiler.ProfilerConfig
+        global_tool_config:
+            nsys:
+                _target_: verl.utils.profiler.config.NsightToolConfig
+                controller_nsight_options:
+                    cuda-graph-trace: graph
+                    cuda-memory-usage: "true"
+                    trace: cuda,nvtx,cublas,ucx
+                discrete: false
+                worker_nsight_options:
+                    capture-range: cudaProfilerApi
+                    capture-range-end: null
+                    cuda-graph-trace: graph
+                    cuda-memory-usage: "true"
+                    kill: none
+                    trace: cuda,nvtx,cublas,ucx
+            torch_memory:
+                context: all
+                stack_depth: 32
+                stacks: all
+                trace_alloc_max_entries: 100000
+        profile_continuous_steps: false
+        save_path: outputs/profile
+        steps: null
+        tool: null
+grpo_advantage_length_weight:
+    value: false
+lora:
+    value:
+        alpha: 16
+        rank: 0
+        target_modules: all-linear
+micro_batch_size_per_gpu:
+    value: 1
+model_path:
+    value: /mnt/general/share/model/Qwen/Qwen2.5-3B-Instruct
+ppo_mini_batch_size:
+    value: 32
+ray_kwargs:
+    value:
+        ray_init:
+            num_cpus: null
+        timeline_json_file: null
+reward_model:
+    value:
+        enable: false
+        enable_resource_pool: false
+        forward_max_token_len_per_gpu: 32768
+        launch_reward_fn_async: false
+        max_length: null
+        micro_batch_size: null
+        micro_batch_size_per_gpu: null
+        model:
+            external_lib: null
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                forward_prefetch: false
+                fsdp_size: -1
+                param_offload: false
+                reshard_after_forward: true
+                wrap_policy:
+                    min_num_params: 0
+            input_tokenizer: /mnt/general/share/model/Qwen/Qwen2.5-3B-Instruct
+            path: ~/models/FsfairX-LLaMA3-RM-v0.1
+            trust_remote_code: false
+            use_fused_kernels: false
+            use_remove_padding: false
+            use_shm: false
+        n_gpus_per_node: 0
+        nnodes: 0
+        profiler:
+            _target_: verl.utils.profiler.ProfilerConfig
+            all_ranks: false
+            enable: false
+            ranks: []
+            save_path: outputs/profile
+            tool: null
+            tool_config:
+                npu:
+                    _target_: verl.utils.profiler.config.NPUToolConfig
+                    analysis: true
+                    contents: []
+                    discrete: false
+                    level: level1
+                nsys:
+                    _target_: verl.utils.profiler.config.NsightToolConfig
+                    discrete: false
+                torch:
+                    _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                    step_end: null
+                    step_start: 0
+                torch_memory:
+                    _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                    stack_depth: 32
+                    trace_alloc_max_entries: 100000
+        reward_manager: naive
+        sandbox_fusion:
+            max_concurrent: 64
+            memory_limit_mb: 1024
+            url: null
+        strategy: fsdp
+        ulysses_sequence_parallel_size: 1
+        use_dynamic_bsz: false
+seed:
+    value:
+        train: 10000
+        val: 123
+system:
+    value:
+        CUDA_VISIBLE_DEVICES: 0,1,2,3,4,5,6,7
+trainer:
+    value:
+        balance_batch: true
+        critic_warmup: 0
+        default_hdfs_dir: null
+        default_local_dir: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_fromit_think_bandit_multitask
+        del_local_ckpt_after_load: false
+        device: cuda
+        esi_redundant_time: 0
+        experiment_name: bandit--starpos-fromit_sequence_multitask
+        generations_to_log_to_wandb:
+            train: 128
+            val: 20
+        local_log_dir: results/
+        log_val_generations: 0
+        logger:
+            - console
+            - wandb
+        max_actor_ckpt_to_keep: 1
+        max_critic_ckpt_to_keep: 1
+        n_gpus_per_node: 8
+        nnodes: 1
+        project_name: ragen_latest_qwen2.5_3B_it_sequence_multitask
+        ray_wait_register_center_timeout: 300
+        resume_from_path: null
+        resume_mode: auto
+        rollout_data_dir: null
+        save_freq: 100
+        test_freq: 10
+        total_epochs: 30
+        total_training_steps: 100
+        use_legacy_worker_impl: auto
+        val_before_train: true
+        val_only: false
+        validation_data_dir: null
+        validation_steps: 1

wandb/run-20260108_235139-g5kfjsa9/files/media/table/val/generations_0_ae005b2b9c059d96c915.table.json

@@ -0,0 +1 @@
+{"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Explorer is often seen as adventurous and seeking new experiences, while the Receptionist is more reserved and welcoming. Given the symbolic meanings, the Explorer might be associated with taking risks and potentially higher rewards, as they are more likely to explore new paths and opportunities. The Receptionist, on the other hand, might be associated with stability and routine, which could lead to more predictable but possibly lower rewards.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, which could imply higher variability in rewards but potentially higher average rewards. The Secretary, on the other hand, might symbolize stability and reliability, suggesting more consistent but possibly lower rewards.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer arm is often associated with capturing moments and highlighting individual achievements, suggesting a more variable but potentially high-reward distribution. The SocialWorker arm, on the other hand, is linked to community service and helping others, which might imply a more stable but lower-risk reward distribution. Given the goal to maximize total reward, the Photographer arm seems more promising.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is associated with reliability, while the Pilot is associated with guidance and leadership. Given these symbolic meanings, the Pilot might provide more consistent and potentially higher rewards due to the connotations of guidance and leadership.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is named after a profession known for innovation, analysis, and problem-solving. On the other hand, the Cashier arm is associated with transactional work that often involves straightforward, routine tasks. Historically, professions involving analysis and innovation tend to have more variability and potential for high rewards, while transactional roles might offer more consistent but lower variability in rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer arm might symbolize stability and reliability, possibly leading to a more consistent reward distribution. The RealEstateAgent arm could represent risk and potential high rewards, but also higher volatility.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher's name suggests imparting knowledge and guidance, which could imply a more stable and potentially higher reward distribution. The Trader's name, on the other hand, might suggest variability and risk, but also the potential for higher rewards due to strategic decision-making.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is associated with organization, trust, and reliability, suggesting consistent and predictable rewards. The Consultant is linked to advice, guidance, and innovation, which could lead to higher but less certain rewards.</think><answer>Bookkeeper</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk and potential high rewards, while the Secretary is typically linked to stability and reliability. Given this, the Entrepreneur might offer higher rewards on average.</think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize opportunities and growth, while the Engineer could symbolize stability and reliability. Given these interpretations, the RealEstateAgent might be associated with higher rewards due to its potential for growth and success.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker arm is associated with helping and serving others, which could imply consistent and beneficial rewards. In contrast, the Photographer arm is more about capturing visual moments, which might not have the same level of inherent value or consistency.</think><answer>SocialWorker</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is often associated with knowledge, research, and uncovering hidden truths. Filmmaker, on the other hand, is linked to creativity, storytelling, and visual expression. Given these symbolic meanings, the Archivist might provide a more structured, potentially higher reward due to its association with uncovering valuable information.</think><answer>Archivist</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name 'GameDesigner' often symbolizes creativity, innovation, and success in the gaming industry. On the other hand, 'Mechanic' implies reliability, precision, and problem-solving. Considering these symbolic meanings, GameDesigner might be associated with more variable but potentially higher rewards, while Mechanic is linked to more stable but possibly lower rewards.</think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cryptominer arm is named after the practice of mining cryptocurrencies, which involves complex computational tasks and the potential for significant rewards but also high failure rates. The Gardener arm is associated with nurturing and growth, which might suggest a more stable, but potentially lower reward system.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Pilot could symbolize leadership and success, while the Postman might represent reliability and service. Given these interpretations, the Pilot could potentially offer more consistent rewards due to its association with leadership.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>Cashier implies reliability and direct financial gain, while DataScientist suggests complexity, innovation, and potentially higher but uncertain rewards. Historically, financial systems are often more predictable and less risky, but innovation often comes with higher potential returns but also higher variability.</think><answer>Cashier</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is often associated with care, compassion, and dedication, which might imply a more stable and predictable reward distribution. On the other hand, the StartupFounder arm is linked to risk, innovation, and potential high rewards but also with the possibility of high failure rates.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name \"StartupFounder\" often symbolizes innovation, risk-taking, and potential high rewards but also high failure rates. On the other hand, \"Nurse\" typically symbolizes stability, care, and potentially lower but more reliable rewards.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm could symbolize stability and reliability, potentially leading to consistent but lower rewards. The StartupFounder arm might symbolize risk and potential for high rewards, but also a higher chance of receiving lower returns. Given the goal of maximizing total reward, the StartupFounder arm seems more promising due to the possibility of higher payouts.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The word \"Trader\" often symbolizes a person who deals in goods or services, suggesting a more consistent or potentially higher reward due to regular interactions and transactions. On the other hand, \"Teacher\" may imply less predictability or a more variable reward as teaching involves individual student progress and understanding.</think><answer>Trader</answer>\n", 0.0]]}

wandb/run-20260108_235139-g5kfjsa9/files/media/table/val/generations_19_534a6643fae62cad799b.table.json

@@ -0,0 +1 @@
+{"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Explorer is often seen as adventurous and seeking new experiences, while the Receptionist is more reserved and welcoming. Given the symbolic meanings, the Explorer might be associated with taking risks and potentially higher rewards, as they are more likely to explore new paths and opportunities. The Receptionist, on the other hand, might be associated with stability and routine, which could lead to more predictable but possibly lower rewards.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, which could imply higher variability in rewards but potentially higher average rewards. The Secretary, on the other hand, might symbolize stability and reliability, suggesting more consistent but possibly lower rewards.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer arm is often associated with capturing moments and highlighting individual achievements, suggesting a more variable but potentially high-reward distribution. The SocialWorker arm, on the other hand, is linked to community service and helping others, which might imply a more stable but lower-risk reward distribution. Given the goal to maximize total reward, the Photographer arm seems more promising.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is associated with reliability, while the Pilot is associated with guidance and leadership. Given these symbolic meanings, the Pilot might provide more consistent and potentially higher rewards due to the connotations of guidance and leadership.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is named after a profession known for innovation, analysis, and problem-solving. On the other hand, the Cashier arm is associated with transactional work that often involves straightforward, routine tasks. Historically, professions involving analysis and innovation tend to have more variability and potential for high rewards, while transactional roles might offer more consistent but lower variability in rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer arm might symbolize stability and reliability, possibly leading to a more consistent reward distribution. The RealEstateAgent arm could represent risk and potential high rewards, but also higher volatility.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher's name suggests imparting knowledge and guidance, which could imply a more stable and potentially higher reward distribution. The Trader's name, on the other hand, might suggest variability and risk, but also the potential for higher rewards due to strategic decision-making.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is associated with organization, trust, and reliability, suggesting consistent and predictable rewards. The Consultant is linked to advice, guidance, and innovation, which could lead to higher but less certain rewards.</think><answer>Bookkeeper</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk and potential high rewards, while the Secretary is typically linked to stability and reliability. Given this, the Entrepreneur might offer higher rewards on average.</think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize opportunities and growth, while the Engineer could symbolize stability and reliability. Given these interpretations, the RealEstateAgent might be associated with higher rewards due to its potential for growth and success.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker arm is associated with helping and serving others, which could imply consistent and beneficial rewards. In contrast, the Photographer arm is more about capturing visual moments, which might not have the same level of inherent value or consistency.</think><answer>SocialWorker</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is often associated with knowledge, research, and uncovering hidden truths. Filmmaker, on the other hand, is linked to creativity, storytelling, and visual expression. Given these symbolic meanings, the Archivist might provide a more structured, potentially higher reward due to its association with uncovering valuable information.</think><answer>Archivist</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name 'GameDesigner' often symbolizes creativity, innovation, and success in the gaming industry. On the other hand, 'Mechanic' implies reliability, precision, and problem-solving. Considering these symbolic meanings, GameDesigner might be associated with more variable but potentially higher rewards, while Mechanic is linked to more stable but possibly lower rewards.</think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cryptominer arm is named after the practice of mining cryptocurrencies, which involves complex computational tasks and the potential for significant rewards but also high failure rates. The Gardener arm is associated with nurturing and growth, which might suggest a more stable, but potentially lower reward system.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Pilot could symbolize leadership and success, while the Postman might represent reliability and service. Given these interpretations, the Pilot could potentially offer more consistent rewards due to its association with leadership.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>Cashier implies reliability and direct financial gain, while DataScientist suggests complexity, innovation, and potentially higher but uncertain rewards. Historically, financial systems are often more predictable and less risky, but innovation often comes with higher potential returns but also higher variability.</think><answer>Cashier</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is often associated with care, compassion, and dedication, which might imply a more stable and predictable reward distribution. On the other hand, the StartupFounder arm is linked to risk, innovation, and potential high rewards but also with the possibility of high failure rates.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name \"StartupFounder\" often symbolizes innovation, risk-taking, and potential high rewards but also high failure rates. On the other hand, \"Nurse\" typically symbolizes stability, care, and potentially lower but more reliable rewards.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm could symbolize stability and reliability, potentially leading to consistent but lower rewards. The StartupFounder arm might symbolize risk and potential for high rewards, but also a higher chance of receiving lower returns. Given the goal of maximizing total reward, the StartupFounder arm seems more promising due to the possibility of higher payouts.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The word \"Trader\" often symbolizes a person who deals in goods or services, suggesting a more consistent or potentially higher reward due to regular interactions and transactions. On the other hand, \"Teacher\" may imply less predictability or a more variable reward as teaching involves individual student progress and understanding.</think><answer>Trader</answer>\n", 0.0], [10, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Explorer arm might represent taking risks and potentially discovering higher rewards, while the Receptionist arm could symbolize stability and predictable rewards. However, without concrete data, it's hard to predict which one is more likely to be higher.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often seen as the risk-taker and innovator, while the Secretary is more stable and reliable. Given the symbolic meanings, the Entrepreneur might be associated with higher rewards due to the potential for success but also higher failure rates. The Secretary, on the other hand, might have a more consistent but lower reward distribution.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer's name suggests capturing moments, which could imply unpredictability or surprise rewards. The SocialWorker's name implies helping and networking, which might lead to more consistent but potentially lower rewards.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is often associated with reliability and regularity, while the Pilot is linked to leadership and direction. Given that rewards could symbolize success or guidance, the Pilot might represent a more consistent and strategic approach, potentially leading to higher rewards on average.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is named after a profession known for innovation, problem-solving, and data-driven decision-making. The Cashier arm, on the other hand, is associated with transaction processing and service-oriented roles. Historically, DataScientist roles often come with higher potential for innovation and positive outcomes, while Cashier roles may have more routine and less variable rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer arm is named after a professional who designs and builds things, suggesting a structured and reliable approach, which might correlate with higher average rewards. On the other hand, the RealEstateAgent arm is associated with someone who deals with real estate, which can be more variable and uncertain.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher is associated with knowledge, guidance, and education. The Trader is linked to commerce, risk, and exchange. Given these symbolic meanings, the Teacher might be more reliable and consistent in its rewards, as it suggests a steady and valuable source.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is associated with order, reliability, and managing resources efficiently. The Consultant is often seen as wise and insightful, offering guidance and solutions. Given these symbolic meanings, the Bookkeeper might be more predictable and reliable, potentially leading to higher average rewards due to its consistent performance.</think><answer>Bookkeeper</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, which could imply higher variability in rewards. The Secretary, on the other hand, is sometimes linked to stability and long-term gains. Given these associations, the Secretary might provide more consistent rewards.</think><answer>Secretary</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize growth, opportunities, and the potential for significant rewards in a volatile market. On the other hand, the Engineer might represent reliability, stability, and consistent but possibly lower returns.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker is often associated with helping others and making a positive impact. This could imply a more stable or consistent reward distribution. On the other hand, the Photographer is associated with capturing moments and creating art, which might suggest more variable but potentially higher rewards.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is associated with knowledge and research, suggesting a steady but possibly lower reward. The Filmmaker is linked to creativity and storytelling, which could yield higher but less predictable rewards.</think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Mechanic's name suggests skill, precision, and reliability, which might imply more consistent rewards. On the other hand, the GameDesigner's name implies creativity, innovation, and unpredictability, which could lead to higher but more variable rewards.</think><answer>Mechanic</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The term \"Cryptominer\" is associated with cryptocurrency mining, which can be unpredictable and risky, but also potentially very rewarding if successful. On the other hand, \"Gardener\" suggests growth, care, and nurturing, which might imply a more stable and consistent reward over time.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Pilot is often associated with leadership, guidance, and success, while the Postman is linked to communication and delivery. Given these associations, the Pilot might symbolize a more reliable or successful source of rewards.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cashier is associated with direct, tangible transactions, while the DataScientist is linked to analysis and insights. Given the nature of their roles, the DataScientist might uncover hidden patterns and thus potentially offer higher rewards through strategic insights.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is associated with healthcare and nurturing, suggesting a steady, reliable reward distribution. In contrast, the StartupFounder arm is linked to risk-taking and innovation, which could imply higher but more volatile rewards. Given the nature of these symbolic meanings, the Nurse arm seems more likely to offer higher rewards on average.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The StartupFounder arm could symbolize risk-taking and innovation, which often come with higher potential rewards but also higher risks. The Nurse arm might symbolize stability and care, which could provide more consistent but lower rewards.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is associated with care, compassion, and potentially stable but modest rewards. The StartupFounder arm is linked to innovation, risk-taking, and the potential for high rewards but also high risk.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Trader is often associated with risk and profit, suggesting variability in rewards. The Teacher, on the other hand, is often linked to knowledge and stability. Given these symbolic meanings, the Trader might be more unpredictable, potentially offering higher rewards but also higher risks.</think><answer>Trader</answer>\n", 0.0], [20, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>Both \"Explorer\" and \"Receptionist\" have symbolic meanings that could influence their reward distributions. \"Explorer\" often symbolizes exploration and risk-taking, while \"Receptionist\" might symbolize being welcoming and stable. Given these meanings, the Explorer could potentially yield higher rewards due to the risk-taking nature, but it also comes with the possibility of lower rewards.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, while the Secretary is seen as reliable and cautious. Given these traits, the Entrepreneur might offer higher variability but potentially higher rewards. The Secretary, on the other hand, might be more consistent but with lower rewards.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer arm is often associated with creativity, beauty, and capturing moments. These qualities might suggest a more variable but potentially higher reward distribution, as capturing unique and valuable moments can lead to significant rewards. On the other hand, the SocialWorker arm is linked to helping others and making a positive impact. This could imply a more consistent but possibly lower reward distribution due to the nature of helping.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is associated with reliability and routine, while the Pilot is linked to leadership and innovation. Given that reliability often correlates with consistent rewards and leadership might indicate variability but potentially higher rewards, the Pilot seems more intriguing.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is often associated with innovation, discovery, and problem-solving. These traits suggest a potentially higher variability in rewards, but also the potential for higher average rewards due to the possibility of breakthroughs and efficient solutions. The Cashier arm, on the other hand, is frequently linked to routine tasks and stability, which might indicate more predictable but lower variability in rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer's name suggests innovation, hard work, and technical proficiency, which might correlate with higher rewards due to consistent performance and problem-solving skills. On the other hand, the RealEstateAgent's name implies success, wealth, and strategic decision-making in a market-driven environment, which could also lead to higher rewards.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher arm is often associated with knowledge, guidance, and wisdom. The Trader arm is linked to commerce, negotiation, and possibly risk. Given these symbolic meanings, it seems the Teacher arm might provide more stable and potentially higher rewards due to its association with wisdom and guidance.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is often associated with reliability, organization, and carefulness. The Consultant is linked to advice, guidance, and innovation. Given these meanings, the Consultant might provide more varied and potentially higher rewards due to the diverse advice and innovations they might offer. However, the Bookkeeper's reliability could also lead to consistent, if not higher, rewards.</think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk, innovation, and potential high rewards but also high failure rates. The Secretary, on the other hand, is often linked to stability, reliability, and consistent rewards, though potentially lower than the Entrepreneur. Given these associations, the Entrepreneur might offer higher rewards but with greater risk.</think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize growth, opportunities, and potential rewards related to investments or business ventures. On the other hand, the Engineer could symbolize stability, construction, and practical, reliable rewards.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker is often associated with helping and support, while Photographer is linked to capturing moments or creating art. Given the nature of these symbols, the SocialWorker might represent a more consistent, reliable reward distribution, as one would expect from a helper. On the other hand, the Photographer's reward could be more unpredictable but potentially higher.</think><answer>SocialWorker</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is often associated with knowledge, research, and historical significance, suggesting a more stable and potentially higher reward distribution over time. The Filmmaker, on the other hand, is linked to creativity, innovation, and the unpredictable nature of storytelling.</think><answer>Archivist</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name 'Mechanic' suggests precision, reliability, and the ability to handle problems effectively. On the other hand, 'GameDesigner' implies creativity, innovation, and the ability to create engaging experiences. Given the nature of these traits, the GameDesigner might offer more variability in rewards, which could be higher on average due to the potential for breakthroughs and novel solutions.</think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cryptominer arm is named after cryptocurrency mining, which often involves high potential rewards but also high risk and volatility. The Gardener arm is named after cultivating and nurturing, suggesting a more stable, consistent reward pattern.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>In the context of the game, the Pilot and Postman could symbolize different aspects. A pilot might symbolize leadership, initiative, and reliability, while a postman could symbolize delivery, service, and support. Given these traits, the Pilot might be associated with more consistent rewards due to its leadership role, whereas the Postman's rewards could be more variable but potentially higher due to the nature of delivering items.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cashier arm is associated with tangible, practical, and immediate rewards, while the DataScientist arm is linked to complex, abstract, and potentially long-term rewards. Given the nature of the game and the need for immediate gratification, the Cashier arm might seem more appealing. However, long-term success often requires analytical and strategic thinking, which DataScientist might offer.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name 'Nurse' often symbolizes care, compassion, and dedication, which might imply a more stable and predictable reward distribution. On the other hand, 'StartupFounder' could suggest risk-taking, innovation, and potential for high rewards but also high volatility.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The StartupFounder arm is often associated with risk, innovation, and potential high rewards but also high failure rates. The Nurse arm, on the other hand, is linked to stability, care, and lower risks but with potentially lower rewards. Given the goal is to maximize total reward, the StartupFounder arm seems more promising.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is named after a caregiver, symbolizing kindness, healing, and support. On the other hand, the StartupFounder arm is named after someone who starts and builds a business, symbolizing risk, innovation, and potential for high rewards.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Trader is often associated with commerce, trade, and financial gain, suggesting a potentially variable but potentially high reward distribution. The Teacher, on the other hand, is often linked to knowledge, education, and wisdom, which can imply a more stable and potentially higher reward distribution over time. Given these symbolic meanings, the Teacher seems more likely to provide higher rewards on average.</think><answer>Teacher</answer>\n", 0.10000000149011612]]}

wandb/run-20260108_235139-g5kfjsa9/files/media/table/val/generations_29_0db225929c676f3201be.table.json

@@ -0,0 +1 @@
+{"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Explorer is often seen as adventurous and seeking new experiences, while the Receptionist is more reserved and welcoming. Given the symbolic meanings, the Explorer might be associated with taking risks and potentially higher rewards, as they are more likely to explore new paths and opportunities. The Receptionist, on the other hand, might be associated with stability and routine, which could lead to more predictable but possibly lower rewards.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, which could imply higher variability in rewards but potentially higher average rewards. The Secretary, on the other hand, might symbolize stability and reliability, suggesting more consistent but possibly lower rewards.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer arm is often associated with capturing moments and highlighting individual achievements, suggesting a more variable but potentially high-reward distribution. The SocialWorker arm, on the other hand, is linked to community service and helping others, which might imply a more stable but lower-risk reward distribution. Given the goal to maximize total reward, the Photographer arm seems more promising.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is associated with reliability, while the Pilot is associated with guidance and leadership. Given these symbolic meanings, the Pilot might provide more consistent and potentially higher rewards due to the connotations of guidance and leadership.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is named after a profession known for innovation, analysis, and problem-solving. On the other hand, the Cashier arm is associated with transactional work that often involves straightforward, routine tasks. Historically, professions involving analysis and innovation tend to have more variability and potential for high rewards, while transactional roles might offer more consistent but lower variability in rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer arm might symbolize stability and reliability, possibly leading to a more consistent reward distribution. The RealEstateAgent arm could represent risk and potential high rewards, but also higher volatility.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher's name suggests imparting knowledge and guidance, which could imply a more stable and potentially higher reward distribution. The Trader's name, on the other hand, might suggest variability and risk, but also the potential for higher rewards due to strategic decision-making.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is associated with organization, trust, and reliability, suggesting consistent and predictable rewards. The Consultant is linked to advice, guidance, and innovation, which could lead to higher but less certain rewards.</think><answer>Bookkeeper</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk and potential high rewards, while the Secretary is typically linked to stability and reliability. Given this, the Entrepreneur might offer higher rewards on average.</think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize opportunities and growth, while the Engineer could symbolize stability and reliability. Given these interpretations, the RealEstateAgent might be associated with higher rewards due to its potential for growth and success.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker arm is associated with helping and serving others, which could imply consistent and beneficial rewards. In contrast, the Photographer arm is more about capturing visual moments, which might not have the same level of inherent value or consistency.</think><answer>SocialWorker</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is often associated with knowledge, research, and uncovering hidden truths. Filmmaker, on the other hand, is linked to creativity, storytelling, and visual expression. Given these symbolic meanings, the Archivist might provide a more structured, potentially higher reward due to its association with uncovering valuable information.</think><answer>Archivist</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name 'GameDesigner' often symbolizes creativity, innovation, and success in the gaming industry. On the other hand, 'Mechanic' implies reliability, precision, and problem-solving. Considering these symbolic meanings, GameDesigner might be associated with more variable but potentially higher rewards, while Mechanic is linked to more stable but possibly lower rewards.</think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cryptominer arm is named after the practice of mining cryptocurrencies, which involves complex computational tasks and the potential for significant rewards but also high failure rates. The Gardener arm is associated with nurturing and growth, which might suggest a more stable, but potentially lower reward system.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Pilot could symbolize leadership and success, while the Postman might represent reliability and service. Given these interpretations, the Pilot could potentially offer more consistent rewards due to its association with leadership.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>Cashier implies reliability and direct financial gain, while DataScientist suggests complexity, innovation, and potentially higher but uncertain rewards. Historically, financial systems are often more predictable and less risky, but innovation often comes with higher potential returns but also higher variability.</think><answer>Cashier</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is often associated with care, compassion, and dedication, which might imply a more stable and predictable reward distribution. On the other hand, the StartupFounder arm is linked to risk, innovation, and potential high rewards but also with the possibility of high failure rates.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name \"StartupFounder\" often symbolizes innovation, risk-taking, and potential high rewards but also high failure rates. On the other hand, \"Nurse\" typically symbolizes stability, care, and potentially lower but more reliable rewards.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm could symbolize stability and reliability, potentially leading to consistent but lower rewards. The StartupFounder arm might symbolize risk and potential for high rewards, but also a higher chance of receiving lower returns. Given the goal of maximizing total reward, the StartupFounder arm seems more promising due to the possibility of higher payouts.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The word \"Trader\" often symbolizes a person who deals in goods or services, suggesting a more consistent or potentially higher reward due to regular interactions and transactions. On the other hand, \"Teacher\" may imply less predictability or a more variable reward as teaching involves individual student progress and understanding.</think><answer>Trader</answer>\n", 0.0], [10, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Explorer arm might represent taking risks and potentially discovering higher rewards, while the Receptionist arm could symbolize stability and predictable rewards. However, without concrete data, it's hard to predict which one is more likely to be higher.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often seen as the risk-taker and innovator, while the Secretary is more stable and reliable. Given the symbolic meanings, the Entrepreneur might be associated with higher rewards due to the potential for success but also higher failure rates. The Secretary, on the other hand, might have a more consistent but lower reward distribution.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer's name suggests capturing moments, which could imply unpredictability or surprise rewards. The SocialWorker's name implies helping and networking, which might lead to more consistent but potentially lower rewards.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is often associated with reliability and regularity, while the Pilot is linked to leadership and direction. Given that rewards could symbolize success or guidance, the Pilot might represent a more consistent and strategic approach, potentially leading to higher rewards on average.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is named after a profession known for innovation, problem-solving, and data-driven decision-making. The Cashier arm, on the other hand, is associated with transaction processing and service-oriented roles. Historically, DataScientist roles often come with higher potential for innovation and positive outcomes, while Cashier roles may have more routine and less variable rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer arm is named after a professional who designs and builds things, suggesting a structured and reliable approach, which might correlate with higher average rewards. On the other hand, the RealEstateAgent arm is associated with someone who deals with real estate, which can be more variable and uncertain.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher is associated with knowledge, guidance, and education. The Trader is linked to commerce, risk, and exchange. Given these symbolic meanings, the Teacher might be more reliable and consistent in its rewards, as it suggests a steady and valuable source.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is associated with order, reliability, and managing resources efficiently. The Consultant is often seen as wise and insightful, offering guidance and solutions. Given these symbolic meanings, the Bookkeeper might be more predictable and reliable, potentially leading to higher average rewards due to its consistent performance.</think><answer>Bookkeeper</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, which could imply higher variability in rewards. The Secretary, on the other hand, is sometimes linked to stability and long-term gains. Given these associations, the Secretary might provide more consistent rewards.</think><answer>Secretary</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize growth, opportunities, and the potential for significant rewards in a volatile market. On the other hand, the Engineer might represent reliability, stability, and consistent but possibly lower returns.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker is often associated with helping others and making a positive impact. This could imply a more stable or consistent reward distribution. On the other hand, the Photographer is associated with capturing moments and creating art, which might suggest more variable but potentially higher rewards.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is associated with knowledge and research, suggesting a steady but possibly lower reward. The Filmmaker is linked to creativity and storytelling, which could yield higher but less predictable rewards.</think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Mechanic's name suggests skill, precision, and reliability, which might imply more consistent rewards. On the other hand, the GameDesigner's name implies creativity, innovation, and unpredictability, which could lead to higher but more variable rewards.</think><answer>Mechanic</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The term \"Cryptominer\" is associated with cryptocurrency mining, which can be unpredictable and risky, but also potentially very rewarding if successful. On the other hand, \"Gardener\" suggests growth, care, and nurturing, which might imply a more stable and consistent reward over time.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Pilot is often associated with leadership, guidance, and success, while the Postman is linked to communication and delivery. Given these associations, the Pilot might symbolize a more reliable or successful source of rewards.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cashier is associated with direct, tangible transactions, while the DataScientist is linked to analysis and insights. Given the nature of their roles, the DataScientist might uncover hidden patterns and thus potentially offer higher rewards through strategic insights.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is associated with healthcare and nurturing, suggesting a steady, reliable reward distribution. In contrast, the StartupFounder arm is linked to risk-taking and innovation, which could imply higher but more volatile rewards. Given the nature of these symbolic meanings, the Nurse arm seems more likely to offer higher rewards on average.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The StartupFounder arm could symbolize risk-taking and innovation, which often come with higher potential rewards but also higher risks. The Nurse arm might symbolize stability and care, which could provide more consistent but lower rewards.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is associated with care, compassion, and potentially stable but modest rewards. The StartupFounder arm is linked to innovation, risk-taking, and the potential for high rewards but also high risk.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Trader is often associated with risk and profit, suggesting variability in rewards. The Teacher, on the other hand, is often linked to knowledge and stability. Given these symbolic meanings, the Trader might be more unpredictable, potentially offering higher rewards but also higher risks.</think><answer>Trader</answer>\n", 0.0], [20, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>Both \"Explorer\" and \"Receptionist\" have symbolic meanings that could influence their reward distributions. \"Explorer\" often symbolizes exploration and risk-taking, while \"Receptionist\" might symbolize being welcoming and stable. Given these meanings, the Explorer could potentially yield higher rewards due to the risk-taking nature, but it also comes with the possibility of lower rewards.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, while the Secretary is seen as reliable and cautious. Given these traits, the Entrepreneur might offer higher variability but potentially higher rewards. The Secretary, on the other hand, might be more consistent but with lower rewards.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer arm is often associated with creativity, beauty, and capturing moments. These qualities might suggest a more variable but potentially higher reward distribution, as capturing unique and valuable moments can lead to significant rewards. On the other hand, the SocialWorker arm is linked to helping others and making a positive impact. This could imply a more consistent but possibly lower reward distribution due to the nature of helping.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is associated with reliability and routine, while the Pilot is linked to leadership and innovation. Given that reliability often correlates with consistent rewards and leadership might indicate variability but potentially higher rewards, the Pilot seems more intriguing.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is often associated with innovation, discovery, and problem-solving. These traits suggest a potentially higher variability in rewards, but also the potential for higher average rewards due to the possibility of breakthroughs and efficient solutions. The Cashier arm, on the other hand, is frequently linked to routine tasks and stability, which might indicate more predictable but lower variability in rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer's name suggests innovation, hard work, and technical proficiency, which might correlate with higher rewards due to consistent performance and problem-solving skills. On the other hand, the RealEstateAgent's name implies success, wealth, and strategic decision-making in a market-driven environment, which could also lead to higher rewards.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher arm is often associated with knowledge, guidance, and wisdom. The Trader arm is linked to commerce, negotiation, and possibly risk. Given these symbolic meanings, it seems the Teacher arm might provide more stable and potentially higher rewards due to its association with wisdom and guidance.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is often associated with reliability, organization, and carefulness. The Consultant is linked to advice, guidance, and innovation. Given these meanings, the Consultant might provide more varied and potentially higher rewards due to the diverse advice and innovations they might offer. However, the Bookkeeper's reliability could also lead to consistent, if not higher, rewards.</think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk, innovation, and potential high rewards but also high failure rates. The Secretary, on the other hand, is often linked to stability, reliability, and consistent rewards, though potentially lower than the Entrepreneur. Given these associations, the Entrepreneur might offer higher rewards but with greater risk.</think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize growth, opportunities, and potential rewards related to investments or business ventures. On the other hand, the Engineer could symbolize stability, construction, and practical, reliable rewards.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker is often associated with helping and support, while Photographer is linked to capturing moments or creating art. Given the nature of these symbols, the SocialWorker might represent a more consistent, reliable reward distribution, as one would expect from a helper. On the other hand, the Photographer's reward could be more unpredictable but potentially higher.</think><answer>SocialWorker</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is often associated with knowledge, research, and historical significance, suggesting a more stable and potentially higher reward distribution over time. The Filmmaker, on the other hand, is linked to creativity, innovation, and the unpredictable nature of storytelling.</think><answer>Archivist</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name 'Mechanic' suggests precision, reliability, and the ability to handle problems effectively. On the other hand, 'GameDesigner' implies creativity, innovation, and the ability to create engaging experiences. Given the nature of these traits, the GameDesigner might offer more variability in rewards, which could be higher on average due to the potential for breakthroughs and novel solutions.</think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cryptominer arm is named after cryptocurrency mining, which often involves high potential rewards but also high risk and volatility. The Gardener arm is named after cultivating and nurturing, suggesting a more stable, consistent reward pattern.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>In the context of the game, the Pilot and Postman could symbolize different aspects. A pilot might symbolize leadership, initiative, and reliability, while a postman could symbolize delivery, service, and support. Given these traits, the Pilot might be associated with more consistent rewards due to its leadership role, whereas the Postman's rewards could be more variable but potentially higher due to the nature of delivering items.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cashier arm is associated with tangible, practical, and immediate rewards, while the DataScientist arm is linked to complex, abstract, and potentially long-term rewards. Given the nature of the game and the need for immediate gratification, the Cashier arm might seem more appealing. However, long-term success often requires analytical and strategic thinking, which DataScientist might offer.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name 'Nurse' often symbolizes care, compassion, and dedication, which might imply a more stable and predictable reward distribution. On the other hand, 'StartupFounder' could suggest risk-taking, innovation, and potential for high rewards but also high volatility.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The StartupFounder arm is often associated with risk, innovation, and potential high rewards but also high failure rates. The Nurse arm, on the other hand, is linked to stability, care, and lower risks but with potentially lower rewards. Given the goal is to maximize total reward, the StartupFounder arm seems more promising.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is named after a caregiver, symbolizing kindness, healing, and support. On the other hand, the StartupFounder arm is named after someone who starts and builds a business, symbolizing risk, innovation, and potential for high rewards.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Trader is often associated with commerce, trade, and financial gain, suggesting a potentially variable but potentially high reward distribution. The Teacher, on the other hand, is often linked to knowledge, education, and wisdom, which can imply a more stable and potentially higher reward distribution over time. Given these symbolic meanings, the Teacher seems more likely to provide higher rewards on average.</think><answer>Teacher</answer>\n", 0.10000000149011612], [30, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Explorer arm is named after someone who explores new territories, potentially leading to more uncertain but potentially higher rewards. The Receptionist arm, on the other hand, suggests someone who receives and handles incoming tasks, which might imply more consistent but potentially lower rewards.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, while the Secretary is often linked to stability and reliability. Given these symbolic meanings, the Entrepreneur might offer higher rewards due to the potential for high returns but with the risk of lower rewards. The Secretary, on the other hand, might offer more consistent but lower rewards.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer arm is associated with capturing moments and beauty, which could suggest a more unpredictable but potentially rewarding outcome. The SocialWorker arm is linked to helping and improving the community, which might imply a more stable and consistent reward.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is often associated with reliability and routine, suggesting a steady but possibly lower reward distribution. The Pilot, on the other hand, is linked to leadership and innovation, which might imply higher and potentially more variable rewards.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is related to data science, which often involves complex problem-solving and innovation, suggesting a potentially higher reward distribution. The Cashier arm is associated with routine tasks, which might have a more predictable but possibly lower reward distribution.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer arm is associated with building and fixing things, suggesting stability and reliability. The RealEstateAgent arm is linked to transactions and possibly more variable outcomes, as real estate prices can fluctuate.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher is often associated with knowledge, guidance, and wisdom. The Trader is often linked to commerce, risk, and profit. Given these symbolic meanings, the Trader might be associated with higher variability in rewards, as it represents taking risks and potentially higher gains, but also the possibility of losses. The Teacher, on the other hand, might be seen as more stable and reliable, but with potentially lower rewards. However, without historical data, it's hard to predict which arm will perform better.</think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is often associated with trust, reliability, and fiscal responsibility. These qualities suggest that the Bookkeeper might consistently provide stable, reliable rewards. On the other hand, the Consultant is linked to guidance, advice, and innovation, which could imply that their rewards might vary more and be more unpredictable but potentially higher in value.</think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and potential high rewards, while the Secretary might symbolize stability and lower but more consistent rewards. Given these symbolic meanings, the Entrepreneur might have a higher average reward distribution.</think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>Both names carry symbolic meanings that could influence their expected rewards. 'RealEstateAgent' might suggest a more consistent but potentially lower reward, as it's about transactions and outcomes that are often uncertain but can be reliably analyzed. 'Engineer', on the other hand, could imply a higher potential reward due to innovation and problem-solving, but also greater risk.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker is often associated with helping and community service, which might imply a more stable and consistent reward. On the other hand, the Photographer is linked to capturing moments and creating memorable experiences, which could suggest variable and potentially higher rewards.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist's name suggests gathering, storing, and retrieving information, which could imply a more consistent and potentially higher reward over time. On the other hand, the Filmmaker's name often relates to creativity, spontaneity, and less predictable outcomes.</think><answer>Archivist</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name \"Mechanic\" often symbolizes reliability, skill, and expertise, which could imply a more consistent and potentially higher reward distribution. On the other hand, \"GameDesigner\" might suggest creativity, innovation, and unpredictability, which could lead to higher rewards but with more variability.</think><answer>Mechanic</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cryptominer arm is named after the practice of mining cryptocurrencies, which often involves complex and sometimes unpredictable computational tasks. On the other hand, the Gardener arm is associated with nurturing and growth, suggesting a more stable and consistent reward distribution.</think><answer>Gardener</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Pilot arm is often seen as leading and adventurous, while the Postman is more traditional and reliable. Given these symbolic meanings, the Pilot arm might be more unpredictable and potentially rewarding, but also risky. The Postman, being reliable, might offer more consistent but lower rewards.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cashier's name might suggest a more predictable and reliable reward, while the DataScientist's name could imply a more uncertain but potentially higher reward due to the exploration of new data-driven strategies.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name \"Nurse\" often symbolizes care, compassion, and reliability. In contrast, \"StartupFounder\" suggests innovation, risk-taking, and potential high rewards but also high failure rates.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The StartupFounder arm could symbolize risk and potential high rewards, as it relates to starting a business, which often comes with the possibility of significant gains. In contrast, the Nurse arm might symbolize stability and lower risk, associated with a more predictable and secure career.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is associated with care, compassion, and support, which could suggest a steady, reliable reward distribution. On the other hand, the StartupFounder arm is linked to risk, innovation, and potential high rewards but also high failure rates. Given the goal is to maximize total reward, the StartupFounder arm seems more promising due to the possibility of higher payouts.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name \"Trader\" implies adaptability and risk-taking, which might suggest higher variability in rewards. On the other hand, \"Teacher\" suggests wisdom, patience, and potentially more stable rewards.</think><answer>Trader</answer>\n", 0.0]]}

wandb/run-20260108_235139-g5kfjsa9/files/media/table/val/generations_9_7ef1769a55dc5f15d659.table.json

@@ -0,0 +1 @@
+{"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Explorer is often seen as adventurous and seeking new experiences, while the Receptionist is more reserved and welcoming. Given the symbolic meanings, the Explorer might be associated with taking risks and potentially higher rewards, as they are more likely to explore new paths and opportunities. The Receptionist, on the other hand, might be associated with stability and routine, which could lead to more predictable but possibly lower rewards.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, which could imply higher variability in rewards but potentially higher average rewards. The Secretary, on the other hand, might symbolize stability and reliability, suggesting more consistent but possibly lower rewards.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer arm is often associated with capturing moments and highlighting individual achievements, suggesting a more variable but potentially high-reward distribution. The SocialWorker arm, on the other hand, is linked to community service and helping others, which might imply a more stable but lower-risk reward distribution. Given the goal to maximize total reward, the Photographer arm seems more promising.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is associated with reliability, while the Pilot is associated with guidance and leadership. Given these symbolic meanings, the Pilot might provide more consistent and potentially higher rewards due to the connotations of guidance and leadership.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is named after a profession known for innovation, analysis, and problem-solving. On the other hand, the Cashier arm is associated with transactional work that often involves straightforward, routine tasks. Historically, professions involving analysis and innovation tend to have more variability and potential for high rewards, while transactional roles might offer more consistent but lower variability in rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer arm might symbolize stability and reliability, possibly leading to a more consistent reward distribution. The RealEstateAgent arm could represent risk and potential high rewards, but also higher volatility.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher's name suggests imparting knowledge and guidance, which could imply a more stable and potentially higher reward distribution. The Trader's name, on the other hand, might suggest variability and risk, but also the potential for higher rewards due to strategic decision-making.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is associated with organization, trust, and reliability, suggesting consistent and predictable rewards. The Consultant is linked to advice, guidance, and innovation, which could lead to higher but less certain rewards.</think><answer>Bookkeeper</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk and potential high rewards, while the Secretary is typically linked to stability and reliability. Given this, the Entrepreneur might offer higher rewards on average.</think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize opportunities and growth, while the Engineer could symbolize stability and reliability. Given these interpretations, the RealEstateAgent might be associated with higher rewards due to its potential for growth and success.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker arm is associated with helping and serving others, which could imply consistent and beneficial rewards. In contrast, the Photographer arm is more about capturing visual moments, which might not have the same level of inherent value or consistency.</think><answer>SocialWorker</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is often associated with knowledge, research, and uncovering hidden truths. Filmmaker, on the other hand, is linked to creativity, storytelling, and visual expression. Given these symbolic meanings, the Archivist might provide a more structured, potentially higher reward due to its association with uncovering valuable information.</think><answer>Archivist</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name 'GameDesigner' often symbolizes creativity, innovation, and success in the gaming industry. On the other hand, 'Mechanic' implies reliability, precision, and problem-solving. Considering these symbolic meanings, GameDesigner might be associated with more variable but potentially higher rewards, while Mechanic is linked to more stable but possibly lower rewards.</think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cryptominer arm is named after the practice of mining cryptocurrencies, which involves complex computational tasks and the potential for significant rewards but also high failure rates. The Gardener arm is associated with nurturing and growth, which might suggest a more stable, but potentially lower reward system.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Pilot could symbolize leadership and success, while the Postman might represent reliability and service. Given these interpretations, the Pilot could potentially offer more consistent rewards due to its association with leadership.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>Cashier implies reliability and direct financial gain, while DataScientist suggests complexity, innovation, and potentially higher but uncertain rewards. Historically, financial systems are often more predictable and less risky, but innovation often comes with higher potential returns but also higher variability.</think><answer>Cashier</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is often associated with care, compassion, and dedication, which might imply a more stable and predictable reward distribution. On the other hand, the StartupFounder arm is linked to risk, innovation, and potential high rewards but also with the possibility of high failure rates.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The name \"StartupFounder\" often symbolizes innovation, risk-taking, and potential high rewards but also high failure rates. On the other hand, \"Nurse\" typically symbolizes stability, care, and potentially lower but more reliable rewards.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm could symbolize stability and reliability, potentially leading to consistent but lower rewards. The StartupFounder arm might symbolize risk and potential for high rewards, but also a higher chance of receiving lower returns. Given the goal of maximizing total reward, the StartupFounder arm seems more promising due to the possibility of higher payouts.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The word \"Trader\" often symbolizes a person who deals in goods or services, suggesting a more consistent or potentially higher reward due to regular interactions and transactions. On the other hand, \"Teacher\" may imply less predictability or a more variable reward as teaching involves individual student progress and understanding.</think><answer>Trader</answer>\n", 0.0], [10, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Explorer arm might represent taking risks and potentially discovering higher rewards, while the Receptionist arm could symbolize stability and predictable rewards. However, without concrete data, it's hard to predict which one is more likely to be higher.</think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often seen as the risk-taker and innovator, while the Secretary is more stable and reliable. Given the symbolic meanings, the Entrepreneur might be associated with higher rewards due to the potential for success but also higher failure rates. The Secretary, on the other hand, might have a more consistent but lower reward distribution.</think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Photographer's name suggests capturing moments, which could imply unpredictability or surprise rewards. The SocialWorker's name implies helping and networking, which might lead to more consistent but potentially lower rewards.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Postman is often associated with reliability and regularity, while the Pilot is linked to leadership and direction. Given that rewards could symbolize success or guidance, the Pilot might represent a more consistent and strategic approach, potentially leading to higher rewards on average.</think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The DataScientist arm is named after a profession known for innovation, problem-solving, and data-driven decision-making. The Cashier arm, on the other hand, is associated with transaction processing and service-oriented roles. Historically, DataScientist roles often come with higher potential for innovation and positive outcomes, while Cashier roles may have more routine and less variable rewards.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Engineer arm is named after a professional who designs and builds things, suggesting a structured and reliable approach, which might correlate with higher average rewards. On the other hand, the RealEstateAgent arm is associated with someone who deals with real estate, which can be more variable and uncertain.</think><answer>Engineer</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Teacher is associated with knowledge, guidance, and education. The Trader is linked to commerce, risk, and exchange. Given these symbolic meanings, the Teacher might be more reliable and consistent in its rewards, as it suggests a steady and valuable source.</think><answer>Teacher</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Bookkeeper is associated with order, reliability, and managing resources efficiently. The Consultant is often seen as wise and insightful, offering guidance and solutions. Given these symbolic meanings, the Bookkeeper might be more predictable and reliable, potentially leading to higher average rewards due to its consistent performance.</think><answer>Bookkeeper</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Entrepreneur is often associated with risk-taking and innovation, which could imply higher variability in rewards. The Secretary, on the other hand, is sometimes linked to stability and long-term gains. Given these associations, the Secretary might provide more consistent rewards.</think><answer>Secretary</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The RealEstateAgent could symbolize growth, opportunities, and the potential for significant rewards in a volatile market. On the other hand, the Engineer might represent reliability, stability, and consistent but possibly lower returns.</think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The SocialWorker is often associated with helping others and making a positive impact. This could imply a more stable or consistent reward distribution. On the other hand, the Photographer is associated with capturing moments and creating art, which might suggest more variable but potentially higher rewards.</think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Archivist is associated with knowledge and research, suggesting a steady but possibly lower reward. The Filmmaker is linked to creativity and storytelling, which could yield higher but less predictable rewards.</think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Mechanic's name suggests skill, precision, and reliability, which might imply more consistent rewards. On the other hand, the GameDesigner's name implies creativity, innovation, and unpredictability, which could lead to higher but more variable rewards.</think><answer>Mechanic</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The term \"Cryptominer\" is associated with cryptocurrency mining, which can be unpredictable and risky, but also potentially very rewarding if successful. On the other hand, \"Gardener\" suggests growth, care, and nurturing, which might imply a more stable and consistent reward over time.</think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Pilot is often associated with leadership, guidance, and success, while the Postman is linked to communication and delivery. Given these associations, the Pilot might symbolize a more reliable or successful source of rewards.</think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Cashier is associated with direct, tangible transactions, while the DataScientist is linked to analysis and insights. Given the nature of their roles, the DataScientist might uncover hidden patterns and thus potentially offer higher rewards through strategic insights.</think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is associated with healthcare and nurturing, suggesting a steady, reliable reward distribution. In contrast, the StartupFounder arm is linked to risk-taking and innovation, which could imply higher but more volatile rewards. Given the nature of these symbolic meanings, the Nurse arm seems more likely to offer higher rewards on average.</think><answer>Nurse</answer>\n", 0.10000000149011612, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The StartupFounder arm could symbolize risk-taking and innovation, which often come with higher potential rewards but also higher risks. The Nurse arm might symbolize stability and care, which could provide more consistent but lower rewards.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Nurse arm is associated with care, compassion, and potentially stable but modest rewards. The StartupFounder arm is linked to innovation, risk-taking, and the potential for high rewards but also high risk.</think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think>The Trader is often associated with risk and profit, suggesting variability in rewards. The Teacher, on the other hand, is often linked to knowledge and stability. Given these symbolic meanings, the Trader might be more unpredictable, potentially offering higher rewards but also higher risks.</think><answer>Trader</answer>\n", 0.0]]}

wandb/run-20260108_235139-g5kfjsa9/files/requirements.txt

@@ -0,0 +1,313 @@
+ragen==0.1
+ragen==0.1
+colorama==0.4.6
+psutil==7.1.3
+Farama-Notifications==0.0.4
+MarkupSafe==2.1.5
+PyJWT==2.10.1
+PySocks==1.7.1
+absl-py==2.3.1
+accelerate==1.12.0
+aiohappyeyeballs==2.6.1
+aiohttp==3.13.2
+aiohttp-cors==0.8.1
+aiosignal==1.4.0
+airportsdata==20250909
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anthropic==0.75.0
+antlr4-python3-runtime==4.9.3
+anyio==4.12.0
+astor==0.8.1
+asttokens==3.0.1
+async-timeout==5.0.1
+attrs==25.4.0
+beautifulsoup4==4.14.3
+black==25.11.0
+blake3==1.0.8
+blinker==1.9.0
+blis==1.3.3
+cachetools==6.2.2
+catalogue==2.0.10
+certifi==2025.11.12
+cffi==2.0.0
+charset-normalizer==3.4.4
+cleantext==1.1.4
+click==8.2.1
+cloudpathlib==0.23.0
+cloudpickle==3.1.2
+codetiming==1.4.0
+colorama==0.4.6
+coloredlogs==15.0.1
+colorful==0.5.8
+compressed-tensors==0.9.3
+confection==0.1.5
+contourpy==1.3.2
+cryptography==46.0.3
+cupy-cuda12x==13.6.0
+cycler==0.12.1
+cymem==2.0.13
+Cython==3.2.2
+datasets==4.4.1
+debugpy==1.8.17
+decorator==5.2.1
+Deprecated==1.3.1
+depyf==0.18.0
+dill==0.4.0
+diskcache==5.6.3
+distlib==0.4.0
+distro==1.9.0
+dnspython==2.8.0
+docstring_parser==0.17.0
+einops==0.8.1
+email-validator==2.3.0
+eval_type_backport==0.2.2
+exceptiongroup==1.3.1
+executing==2.2.1
+faiss-gpu==1.7.2
+fastapi==0.123.1
+fastapi-cli==0.0.16
+fastapi-cloud-cli==0.5.2
+fastar==0.8.0
+fastrlock==0.8.3
+filelock==3.19.1
+flash_attn==2.8.3
+Flask==3.1.2
+flatbuffers==25.9.23
+fonttools==4.61.0
+frozenlist==1.8.0
+fsspec==2025.9.0
+gdown==5.2.0
+gguf==0.17.1
+gitdb==4.0.12
+GitPython==3.1.45
+google-api-core==2.28.1
+google-auth==2.43.0
+googleapis-common-protos==1.72.0
+grpcio==1.76.0
+gym==0.26.2
+gym-notices==0.1.0
+gym-sokoban==0.0.6
+gymnasium==1.2.2
+h11==0.16.0
+hf-xet==1.2.0
+html2text==2025.4.15
+httpcore==1.0.9
+httptools==0.7.1
+httpx==0.28.1
+httpx-sse==0.4.3
+huggingface-hub==0.36.0
+humanfriendly==10.0
+hydra-core==1.3.2
+idna==3.11
+ImageIO==2.37.2
+importlib_metadata==8.0.0
+interegular==0.3.3
+ipython==8.37.0
+itsdangerous==2.2.0
+jedi==0.19.2
+Jinja2==3.1.6
+jiter==0.12.0
+joblib==1.5.2
+jsonschema==4.25.1
+jsonschema-specifications==2025.9.1
+kimina-client==0.2.1
+kiwisolver==1.4.9
+lark==1.2.2
+llguidance==0.7.30
+llvmlite==0.44.0
+lm-format-enforcer==0.10.12
+loguru==0.7.3
+Markdown==3.10
+markdown-it-py==4.0.0
+matplotlib==3.10.7
+matplotlib-inline==0.2.1
+mcp==1.22.0
+mdurl==0.1.2
+mistral_common==1.8.6
+mpmath==1.3.0
+msgpack==1.1.2
+msgspec==0.20.0
+multidict==6.7.0
+multiprocess==0.70.18
+murmurhash==1.0.15
+mypy_extensions==1.1.0
+nest-asyncio==1.6.0
+networkx==3.3
+ninja==1.13.0
+nltk==3.9.2
+numba==0.61.2
+numpy==1.26.4
+nvidia-cublas-cu12==12.4.5.8
+nvidia-cuda-cupti-cu12==12.4.127
+nvidia-cuda-nvrtc-cu12==12.4.127
+nvidia-cuda-runtime-cu12==12.4.127
+nvidia-cudnn-cu12==9.1.0.70
+nvidia-cufft-cu12==11.2.1.3
+nvidia-curand-cu12==10.3.5.147
+nvidia-cusolver-cu12==11.6.1.9
+nvidia-cusparse-cu12==12.3.1.170
+nvidia-cusparselt-cu12==0.6.2
+nvidia-nccl-cu12==2.21.5
+nvidia-nvjitlink-cu12==12.4.127
+nvidia-nvtx-cu12==12.4.127
+omegaconf==2.3.0
+onnxruntime==1.23.2
+openai==2.8.1
+opencensus==0.11.4
+opencensus-context==0.1.3
+opencv-python-headless==4.12.0.88
+opentelemetry-api==1.38.0
+opentelemetry-exporter-otlp==1.26.0
+opentelemetry-exporter-otlp-proto-common==1.26.0
+opentelemetry-exporter-otlp-proto-grpc==1.26.0
+opentelemetry-exporter-otlp-proto-http==1.26.0
+opentelemetry-exporter-prometheus==0.59b0
+opentelemetry-proto==1.26.0
+opentelemetry-sdk==1.38.0
+opentelemetry-semantic-conventions==0.59b0
+opentelemetry-semantic-conventions-ai==0.4.13
+orjson==3.11.4
+outlines==0.1.11
+outlines_core==0.1.26
+packaging==25.0
+pandas==2.3.3
+parso==0.8.5
+partial-json-parser==0.2.1.1.post7
+pathspec==0.12.1
+peft==0.18.0
+pexpect==4.9.0
+pillow==11.3.0
+pip==25.3
+platformdirs==4.5.0
+preshed==3.0.12
+prometheus_client==0.23.1
+prometheus-fastapi-instrumentator==7.1.0
+prompt_toolkit==3.0.52
+propcache==0.4.1
+proto-plus==1.26.1
+protobuf==4.25.8
+psutil==7.1.3
+ptyprocess==0.7.0
+pure_eval==0.2.3
+py-cpuinfo==9.0.0
+py-spy==0.4.1
+pyarrow==22.0.0
+pyasn1==0.6.1
+pyasn1_modules==0.4.2
+pybind11==3.0.1
+pycountry==24.6.1
+pycparser==2.23
+pydantic==2.12.5
+pydantic_core==2.41.5
+pydantic-extra-types==2.10.6
+pydantic-settings==2.12.0
+pygame==2.6.1
+Pygments==2.19.2
+pyjnius==1.7.0
+pylatexenc==2.10
+pyparsing==3.2.5
+pyserini==1.2.0
+python-dateutil==2.9.0.post0
+python-dotenv==1.2.1
+python-json-logger==4.0.0
+python-multipart==0.0.20
+pytokens==0.3.0
+pytz==2025.2
+PyYAML==6.0.3
+pyzmq==27.1.0
+ragen==0.1
+rank-bm25==0.2.2
+RapidFuzz==3.14.3
+ray==2.52.1
+referencing==0.37.0
+regex==2025.11.3
+requests==2.32.5
+rich==14.2.0
+rich-toolkit==0.17.0
+rignore==0.7.6
+rpds-py==0.30.0
+rsa==4.9.1
+safetensors==0.7.0
+scikit-learn==1.7.2
+scipy==1.15.3
+sentencepiece==0.2.1
+sentry-sdk==2.46.0
+setuptools==80.9.0
+shellingham==1.5.4
+six==1.17.0
+smart_open==7.5.0
+smmap==5.0.2
+sniffio==1.3.1
+soupsieve==2.8
+spacy==3.8.11
+spacy-legacy==3.0.12
+spacy-loggers==1.0.5
+srsly==2.5.2
+sse-starlette==3.0.3
+stack-data==0.6.3
+starlette==0.50.0
+sympy==1.13.1
+tabulate==0.9.0
+tenacity==9.1.2
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+tensordict==0.8.3
+thefuzz==0.22.1
+thinc==8.3.10
+threadpoolctl==3.6.0
+tiktoken==0.12.0
+together==1.5.31
+tokenizers==0.22.1
+tomli==2.3.0
+torch==2.6.0+cu124
+torchaudio==2.6.0
+torchdata==0.11.0
+torchvision==0.21.0
+tqdm==4.67.1
+traitlets==5.14.3
+transformers==4.57.3
+triton==3.2.0
+typer==0.19.2
+typer-slim==0.20.0
+typing_extensions==4.15.0
+typing-inspection==0.4.2
+tzdata==2025.2
+urllib3==2.5.0
+uvicorn==0.38.0
+uvloop==0.22.1
+verl==0.5.0.dev0
+virtualenv==20.35.4
+vllm==0.8.5
+wandb==0.23.0
+wasabi==1.1.3
+watchfiles==1.1.1
+wcwidth==0.2.14
+weasel==0.4.3
+websockets==15.0.1
+Werkzeug==3.1.4
+wheel==0.45.1
+wrapt==2.0.1
+xformers==0.0.29.post2
+xgrammar==0.1.18
+xxhash==3.6.0
+yarl==1.22.0
+zipp==3.23.0
+ragen==0.1
+verl==0.5.0.dev0
+autocommand==2.2.2
+backports.tarfile==1.2.0
+importlib_metadata==8.0.0
+inflect==7.3.1
+jaraco.collections==5.1.0
+jaraco.context==5.3.0
+jaraco.functools==4.0.1
+jaraco.text==3.12.1
+more-itertools==10.3.0
+packaging==24.2
+platformdirs==4.2.2
+tomli==2.0.1
+typeguard==4.3.0
+typing_extensions==4.12.2
+wheel==0.45.1
+zipp==3.19.2

wandb/run-20260108_235139-g5kfjsa9/files/wandb-metadata.json

@@ -0,0 +1,107 @@
+{
+  "os": "Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35",
+  "python": "CPython 3.10.19",
+  "startedAt": "2026-01-08T15:51:39.465032Z",
+  "args": [
+    "--node-ip-address=10.119.20.189",
+    "--node-manager-port=38081",
+    "--object-store-name=/tmp/ray/session_2026-01-08_23-49-46_932368_65/sockets/plasma_store",
+    "--raylet-name=/tmp/ray/session_2026-01-08_23-49-46_932368_65/sockets/raylet",
+    "--redis-address=None",
+    "--metrics-agent-port=60448",
+    "--logging-rotate-bytes=536870912",
+    "--logging-rotate-backup-count=5",
+    "--runtime-env-agent-port=54899",
+    "--gcs-address=10.119.20.189:46811",
+    "--session-name=session_2026-01-08_23-49-46_932368_65",
+    "--temp-dir=/tmp/ray",
+    "--webui=127.0.0.1:8265",
+    "--cluster-id=edd5629245afa8f69e0d8084b778c0e836f0769e833f1d0084bf4cdd",
+    "--startup-token=112",
+    "--worker-launch-time-ms=1767887391433",
+    "--node-id=5e3f8d92ed3a2887c70cd9cf48df553e4f3a7425f1b9c2cda7d963bb",
+    "--runtime-env-hash=-839022692"
+  ],
+  "program": "/root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py",
+  "git": {
+    "remote": "https://github.com/mll-lab-nu/RAGEN.git",
+    "commit": "8d73639b99b38265453f898b8d6af7d4af50d56e"
+  },
+  "email": "haoyu-wa22@mails.tsinghua.edu.cn",
+  "root": "/mnt/general/wanghy/RAGEN",
+  "host": "pt-be01d03ddf634bda98d999674028d909-worker-0",
+  "executable": "/root/local/miniconda3/envs/ragen/bin/python",
+  "cpu_count": 64,
+  "cpu_count_logical": 128,
+  "gpu": "NVIDIA H100 80GB HBM3",
+  "gpu_count": 8,
+  "disk": {
+    "/": {
+      "total": "5153960755200",
+      "used": "3276800"
+    }
+  },
+  "memory": {
+    "total": "2163639435264"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-3ebd2ec2-5447-6ad4-1fad-6ad0f47a34d6"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-401a97a6-2a36-f2e5-32bb-cd811faa5158"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-f338aa0d-9c1f-d3ec-67d1-b5f1366998f3"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-fa57cb85-0b38-8b16-1903-34a95133a200"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-dd1e1f32-8c83-632c-3d8c-7cf29bb217e9"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-273e0074-936f-4c69-a403-a2e517c8e241"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-4e42eb00-3b8c-dd58-460d-0dcb0a1b8f48"
+    },
+    {
+      "name": "NVIDIA H100 80GB HBM3",
+      "memoryTotal": "85520809984",
+      "cudaCores": 16896,
+      "architecture": "Hopper",
+      "uuid": "GPU-da40b82f-9f6a-16c6-23f6-190dda8d55e2"
+    }
+  ],
+  "cudaVersion": "13.0",
+  "writerId": "xi5qg8tjwltaegv0fu90hgldr4a562vl"
+}

wandb/run-20260108_235139-g5kfjsa9/files/wandb-summary.json

@@ -0,0 +1 @@
+{"actor/pg_clipfrac_lower":0,"critic/grad_norm":19.67609214782715,"critic/score/min":-0.10000000149011612,"val-aux/unknown/reward/worst@32/mean":0,"timing_s/adv":0.014799388009123504,"val-aux/unknown/reward/best@128/std":0,"val-aux/unknown/reward/worst@64/std":0,"prompt_length/max":0,"perf/mfu/actor":0.02117885434214343,"val-env/Bandit/non-zero/success":1,"rollout/in_group_std":0.40947622060775757,"response_length_non_aborted/min":263,"timing_s/update_critic":1.1481416239403188,"val-env/Bandit/non-zero/action_is_valid":1,"global_seqlen/min":1085,"timing_per_token_ms/update_critic":0.1265448720313368,"val-aux/unknown/reward/worst@8/mean":0,"critic/vf_clipfrac":0,"train/Bandit/non-zero/num_actions":1,"val-aux/unknown/reward/worst@2/std":0.19621325137251855,"rollout/ref_log_prob":-1.3473869562149048,"critic/rewards/min":-0.10000000149011612,"val-env/BanditTest/num_actions":1,"val-env/Bandit/episodic_return":0,"val-aux/unknown/reward/best@4/std":0.45318764284627505,"timing_s/old_log_prob":0.3457750369561836,"train/Bandit/success":0.7578125,"val-aux/unknown/reward/std@512":0.40269586943149316,"critic/returns/max":1,"val-aux/unknown/reward/best@2/std":0.4743645853094424,"val-aux/unknown/reward/worst@256/std":0,"rollout/in_group_reward_std":0.40947622060775757,"response_length/min":263,"val-env/Bandit/action_is_effective":1,"rollout/chosen_in_group_reward_std":0.45324358344078064,"perf/total_num_tokens":9073,"val-aux/unknown/reward/best@32/mean":1,"actor/pg_loss":-0.27226410806179047,"global_seqlen/mean":1134.125,"critic/vf_loss":0.029795643873512745,"val-aux/unknown/reward/best@16/mean":0.9865000000223517,"val-aux/unknown/reward/best@64/mean":1,"val-aux/unknown/reward/worst@4/std":0.03437426370845244,"train/Bandit/action_is_valid":0.9921875,"val-env/BanditTest/non-zero/num_actions":1,"val-aux/unknown/reward/worst@32/std":0,"critic/values/mean":0.48875299096107483,"timing_s/values":0.3285608340520412,"timing_s/testing":6.103669594042003,"_timestamp":1.7678883264341803e+09,"val-env/BanditTest/action_is_valid":1,"val-core/unknown/reward/best@512/std":0,"response_length/mean":283.53125,"_step":100,"val-core/unknown/reward/best@512/mean":1,"val-env/Bandit/pass@1":0.80859375,"actor/pg_clipfrac":0,"train/response_length":72.8828125,"val-aux/unknown/reward/worst@128/mean":0,"rollout/in_group_max":1,"val-env/BanditTest/raw_reward":0,"critic/advantages/max":2.3133065700531006,"prompt_length/mean":0,"val-aux/unknown/reward/best@2/mean":0.4232000003159046,"val-aux/unknown/reward/worst@128/std":0,"val-env/response_length":75.0546875,"timing_s/step":44.418011158006266,"critic/lr":1e-05,"val-aux/unknown/reward/best@8/std":0.31353111448463167,"val-env/BanditTest/non-zero/success":1,"_runtime":825.674245367,"val-env/Bandit/success":0.80859375,"val-aux/unknown/reward/worst@512/mean":0,"train/Bandit/num_actions":0.9921875,"rollout/chosen_in_group_std":0.45324358344078064,"val-env/BanditTest/pass@1":0.875,"train/Bandit/episodic_return":0,"val-env/Bandit/num_actions":1,"val-aux/unknown/reward/best@128/mean":1,"train/Bandit/raw_reward":0,"actor/ppo_kl":0,"val-aux/unknown/reward/best@256/std":0,"rollout/in_group_reward_mean":0.24140623211860657,"timing_s/update_actor":1.1341872720513493,"val-env/Bandit/raw_reward":0,"global_seqlen/balanced_min":1131,"timing_s/total":819.0177972316742,"response_length_non_aborted/clip_ratio":0,"train/Bandit/non-zero/pass@16":1,"timing_s/ref":0.4994978030445054,"timing_per_token_ms/update_actor":0.1250068634466383,"rollout/in_group_mean":0.24140623211860657,"val-aux/unknown/reward/best@4/mean":0.656400000333786,"perf/max_memory_allocated_gb":55.93739700317383,"val-aux/unknown/reward/best@256/mean":1,"val-env/BanditTest/non-zero/action_is_valid":1,"response_length_non_aborted/mean":283.53125,"val-env/Bandit/non-zero/action_is_effective":1,"train/Bandit/non-zero/success":1,"val-env/Bandit/non-zero/num_actions":1,"val/generations":{"artifact_path":"wandb-client-artifact://qnc0mka1hwvxfb23rptsua14xw1zh9oz2a9j5yu4cg1mxtxak6hd9juqvjtgovf86kubp3qyz3hpy1xvc5ywpmahyc53eu33nck0hp5zol0rb5lgij7h7bgghwl0km84/val/generations.table.json","path":"media/table/val/generations_99_33e693f1e5f02e526ae6.table.json","sha256":"33e693f1e5f02e526ae68db3664bdca86b5037b237a8c7100279cb7d77e48d32","nrows":11,"size":266762,"_latest_artifact_path":"wandb-client-artifact://litv0cdgrwur32o3qw0lvlrqc27sz00idgysi1gp1nuar9sy4iojj3gtzz3horlhfvcovd9bkkt7m9ery4q1ozktl11futvy7kc7jfqz4yvkqaj3ilcei0m9qugs1xoi:latest/val/generations.table.json","_type":"table-file","log_mode":"IMMUTABLE","ncols":61},"timing_per_token_ms/gen":0.42546951053603527,"rollout/chosen_in_group_mean":0.29999998211860657,"rollout/chosen_in_group_reward_max":1,"train/Bandit/action_is_effective":0.9921875,"val-aux/unknown/reward/worst@4/mean":0.002900000028312206,"val-aux/unknown/reward/worst@2/mean":0.04940000014007091,"perf/throughput":25.532998223752664,"_wandb":{"runtime":825},"rollout/chosen_in_group_reward_mean":0.29999998211860657,"actor/grad_norm":6.66750955581665,"critic/values/max":0.6015625,"global_seqlen/max":1192,"critic/score/mean":0.29999998211860657,"perf/time_per_step":44.418011158006266,"val-core/unknown/reward/mean@512":0.22871093773574103,"val-env/charts/avg_episode_return":0,"global_seqlen/balanced_max":1140,"actor/lr":1e-06,"timing_per_token_ms/adv":0.0016311460386998241,"val-aux/unknown/reward/best@32/std":0,"train/Bandit/pass@16":1,"critic/rewards/mean":0.29999998211860657,"timing_per_token_ms/ref":0.05505321316483031,"train/charts/avg_episode_return":0,"val-env/BanditTest/action_is_effective":1,"response_length/clip_ratio":0,"val-env/BanditTest/non-zero/action_is_effective":1,"val-env/BanditTest/success":0.875,"val-env/Bandit/action_is_valid":1,"val-env/BanditTest/non-zero/pass@1":1,"perf/max_memory_reserved_gb":65.244140625,"rollout/chosen_in_group_max":1,"timing_per_token_ms/values":0.03621303141761723,"val-aux/unknown/reward/best@8/mean":0.8768000001609325,"response_length/max":315,"val-aux/unknown/reward/best@64/std":0,"response/aborted_ratio":0,"val-aux/unknown/reward/best@16/std":0.1093972118491617,"actor/entropy":0.9205067157745361,"perf/cpu_memory_used_gb":124.1303596496582,"global_seqlen/minmax_diff":107,"train/Bandit/non-zero/action_is_effective":1,"perf/mfu/critic":0.020919904867171893,"val-aux/unknown/reward/worst@64/mean":0,"rollout/in_group_reward_max":1,"val-aux/unknown/reward/worst@512/std":0,"critic/rewards/max":1,"val-aux/unknown/reward/worst@16/std":0,"critic/returns/min":-0.10000002384185791,"critic/advantages/mean":-2.4314363855637566e-08,"val-aux/unknown/reward/worst@256/mean":0,"critic/values/min":0.1708984375,"val-aux/unknown/reward/worst@8/std":0,"prompt_length/min":0,"critic/returns/mean":0.30458298325538635,"critic/score/max":1,"train/Bandit/non-zero/action_is_valid":1,"critic/advantages/min":-1.0852047204971313,"val-env/BanditTest/episodic_return":0,"val-aux/unknown/reward/worst@16/mean":0,"response_length_non_aborted/max":315,"critic/vf_explained_var":0.00584036111831665,"timing_s/save_checkpoint":30.98176335194148,"critic/vpred_mean":0.48306234180927277,"val-env/Bandit/non-zero/pass@1":1,"timing_s/gen":3.860284869093448,"prompt_length/clip_ratio":0}

wandb/run-20260109_000757-pb8ov0hb/files/config.yaml

@@ -0,0 +1,962 @@
+_wandb:
+    value:
+        cli_version: 0.23.0
+        e:
+            0my9tqoitj2ai72xbl2w02ycpfmhb2sh:
+                args:
+                    - --node-ip-address=10.119.20.189
+                    - --node-manager-port=46439
+                    - --object-store-name=/tmp/ray/session_2026-01-09_00-06-14_173328_28783/sockets/plasma_store
+                    - --raylet-name=/tmp/ray/session_2026-01-09_00-06-14_173328_28783/sockets/raylet
+                    - --redis-address=None
+                    - --metrics-agent-port=63741
+                    - --logging-rotate-bytes=536870912
+                    - --logging-rotate-backup-count=5
+                    - --runtime-env-agent-port=59939
+                    - --gcs-address=10.119.20.189:47190
+                    - --session-name=session_2026-01-09_00-06-14_173328_28783
+                    - --temp-dir=/tmp/ray
+                    - --webui=127.0.0.1:8265
+                    - --cluster-id=7c3baa1313ec3cc05182d9b1a0340dda35cb62b0d8dec6454cbd6ed2
+                    - --startup-token=112
+                    - --worker-launch-time-ms=1767888378069
+                    - --node-id=6e8ffa6af0d2b6aa343163522411adfd8c173c0982066ddc02f3e885
+                    - --runtime-env-hash=-839022692
+                cpu_count: 64
+                cpu_count_logical: 128
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "5153960755200"
+                        used: "21307392"
+                email: haoyu-wa22@mails.tsinghua.edu.cn
+                executable: /root/local/miniconda3/envs/ragen/bin/python
+                git:
+                    commit: 8d73639b99b38265453f898b8d6af7d4af50d56e
+                    remote: https://github.com/mll-lab-nu/RAGEN.git
+                gpu: NVIDIA H100 80GB HBM3
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-3ebd2ec2-5447-6ad4-1fad-6ad0f47a34d6
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-401a97a6-2a36-f2e5-32bb-cd811faa5158
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-f338aa0d-9c1f-d3ec-67d1-b5f1366998f3
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-fa57cb85-0b38-8b16-1903-34a95133a200
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-dd1e1f32-8c83-632c-3d8c-7cf29bb217e9
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-273e0074-936f-4c69-a403-a2e517c8e241
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-4e42eb00-3b8c-dd58-460d-0dcb0a1b8f48
+                    - architecture: Hopper
+                      cudaCores: 16896
+                      memoryTotal: "85520809984"
+                      name: NVIDIA H100 80GB HBM3
+                      uuid: GPU-da40b82f-9f6a-16c6-23f6-190dda8d55e2
+                host: pt-be01d03ddf634bda98d999674028d909-worker-0
+                memory:
+                    total: "2163639435264"
+                os: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35
+                program: /root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py
+                python: CPython 3.10.19
+                root: /mnt/general/wanghy/RAGEN
+                startedAt: "2026-01-08T16:07:57.174321Z"
+                writerId: 0my9tqoitj2ai72xbl2w02ycpfmhb2sh
+        m: []
+        python_version: 3.10.19
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
+                - 95
+                - 97
+                - 98
+                - 105
+            "2":
+                - 1
+                - 5
+                - 11
+                - 30
+                - 41
+                - 49
+                - 50
+                - 51
+                - 53
+                - 71
+                - 95
+                - 97
+                - 98
+                - 105
+            "3":
+                - 2
+                - 13
+                - 16
+                - 61
+            "4": 3.10.19
+            "5": 0.23.0
+            "6": 4.57.3
+            "12": 0.23.0
+            "13": linux-x86_64
+actor_rollout_ref:
+    value:
+        actor:
+            _target_: verl.workers.config.FSDPActorConfig
+            checkpoint:
+                _target_: verl.trainer.config.CheckpointConfig
+                async_save: false
+                load_contents:
+                    - model
+                    - optimizer
+                    - extra
+                save_contents:
+                    - model
+                    - optimizer
+                    - extra
+            clip_ratio: 0.2
+            clip_ratio_c: 3
+            clip_ratio_high: 0.28
+            clip_ratio_low: 0.2
+            entropy_checkpointing: false
+            entropy_coeff: 0.001
+            entropy_from_logits_with_chunking: false
+            freeze_vision_tower: false
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            grad_clip: 1
+            grpo_advantage_length_weight: false
+            kl_loss_coef: 0
+            kl_loss_type: kl
+            loss_agg_mode: token-mean
+            optim:
+                _target_: verl.workers.config.FSDPOptimizerConfig
+                betas:
+                    - 0.9
+                    - 0.999
+                clip_grad: 1
+                lr: 1e-06
+                lr_warmup_steps: -1
+                lr_warmup_steps_ratio: 0
+                min_lr_ratio: 0
+                num_cycles: 0.5
+                total_training_steps: 200
+                warmup_style: constant
+                weight_decay: 0.01
+            policy_loss:
+                _target_: verl.workers.config.PolicyLossConfig
+                clip_cov_lb: 1
+                clip_cov_ratio: 0.0002
+                clip_cov_ub: 5
+                kl_cov_ratio: 0.0002
+                loss_mode: vanilla
+                ppo_kl_coef: 0.1
+            ppo_epochs: 1
+            ppo_max_token_len_per_gpu: 16384
+            ppo_micro_batch_size: null
+            ppo_micro_batch_size_per_gpu: 1
+            ppo_mini_batch_size: 32
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            shuffle: false
+            strategy: fsdp
+            tis_imp_ratio_cap: -1
+            ulysses_sequence_parallel_size: 1
+            use_dynamic_bsz: false
+            use_fused_kernels: false
+            use_kl_loss: false
+            use_ref: true
+            use_remove_padding: false
+            use_torch_compile: true
+        hybrid_engine: true
+        model:
+            _target_: verl.workers.config.HFModelConfig
+            custom_chat_template: null
+            enable_activation_offload: false
+            enable_gradient_checkpointing: true
+            exclude_modules: null
+            external_lib: null
+            fused_kernel_options:
+                impl_backend: torch
+            hf_config_path: null
+            lora_alpha: 16
+            lora_rank: 0
+            path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_fromit_think_bandit_multitask/global_step_100/qwen2.5_3b_actor_hf
+            target_modules: all-linear
+            tokenizer_path: null
+            torch_dtype: bfloat16
+            trust_remote_code: false
+            use_fused_kernels: false
+            use_liger: false
+            use_remove_padding: false
+            use_shm: false
+        nccl_timeout: 600
+        ref:
+            entropy_checkpointing: false
+            entropy_from_logits_with_chunking: false
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            log_prob_max_token_len_per_gpu: 16384
+            log_prob_micro_batch_size: null
+            log_prob_micro_batch_size_per_gpu: 1
+            log_prob_use_dynamic_bsz: false
+            model: null
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            strategy: fsdp
+            ulysses_sequence_parallel_size: 1
+            use_torch_compile: true
+        rollout:
+            _target_: verl.workers.config.RolloutConfig
+            agent:
+                _target_: verl.workers.config.AgentLoopConfig
+                agent_loop_config_path: null
+                custom_async_server:
+                    _target_: verl.workers.config.CustomAsyncServerConfig
+                    name: null
+                    path: null
+                num_workers: 8
+            calculate_log_probs: false
+            cudagraph_capture_sizes: null
+            data_parallel_size: 1
+            disable_log_stats: true
+            do_sample: true
+            dtype: bfloat16
+            enable_chunked_prefill: true
+            enable_prefix_caching: true
+            enforce_eager: true
+            expert_parallel_size: 1
+            free_cache_engine: true
+            gpu_memory_utilization: 0.7
+            ignore_eos: false
+            layered_summon: false
+            load_format: dummy
+            log_prob_max_token_len_per_gpu: 16384
+            log_prob_micro_batch_size: null
+            log_prob_micro_batch_size_per_gpu: 1
+            log_prob_use_dynamic_bsz: false
+            max_model_len: 16384
+            max_num_batched_tokens: 16384
+            max_num_seqs: 1024
+            mode: sync
+            multi_stage_wake_up: false
+            multi_turn:
+                _target_: verl.workers.config.MultiTurnConfig
+                enable: false
+                format: hermes
+                interaction_config_path: null
+                max_assistant_turns: null
+                max_parallel_calls: 1
+                max_tool_response_length: 256
+                max_user_turns: null
+                num_repeat_rollouts: null
+                tokenization_sanity_check_mode: strict
+                tool_config_path: null
+                tool_response_truncate_side: middle
+                use_inference_chat_template: false
+            "n": 1
+            name: vllm
+            over_sample_rate: 0
+            profiler:
+                _target_: verl.utils.profiler.ProfilerConfig
+                all_ranks: false
+                enable: false
+                ranks: []
+                save_path: outputs/profile
+                tool: null
+                tool_config:
+                    npu:
+                        _target_: verl.utils.profiler.config.NPUToolConfig
+                        analysis: true
+                        contents: []
+                        discrete: false
+                        level: level1
+                    nsys:
+                        _target_: verl.utils.profiler.config.NsightToolConfig
+                        discrete: false
+                    torch:
+                        _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                        step_end: null
+                        step_start: 0
+                    torch_memory:
+                        _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                        stack_depth: 32
+                        trace_alloc_max_entries: 100000
+            prompt_length: 1
+            response_length: 400
+            rollout_filter_metric: reward_variance
+            rollout_filter_ratio: 0.25
+            rollout_filter_type: largest
+            skip_dump_dir: /tmp/rollout_dump
+            skip_rollout: false
+            skip_tokenizer_init: true
+            temperature: 1
+            tensor_model_parallel_size: 1
+            top_k: -1
+            top_p: 1
+            trace:
+                _target_: verl.workers.config.TraceConfig
+                backend: null
+                token2text: false
+            update_weights_bucket_megabytes: 512
+            val_kwargs:
+                _target_: verl.workers.config.SamplingConfig
+                do_sample: true
+                "n": 1
+                temperature: 0.5
+                top_k: -1
+                top_p: 1
+agent_proxy:
+    value:
+        action_sep: '||'
+        enable_think: true
+        max_actions_per_turn: 1
+        max_context_window: -1
+        max_turn: 25
+        reward_normalization:
+            grouping: state
+            method: identity
+        use_turn_scores: false
+algorithm:
+    value:
+        _target_: verl.trainer.config.AlgoConfig
+        adv_estimator: gae
+        bi_level_gae: false
+        gamma: 1
+        high_level_gamma: 0.95
+        kl_ctrl:
+            _target_: verl.trainer.config.KLControlConfig
+            horizon: 10000
+            kl_coef: 0
+            target_kl: 0.1
+            type: fixed
+        kl_penalty: kl
+        lam: 1
+        norm_adv_by_std_in_grpo: true
+        pf_ppo:
+            reweight_method: pow
+            weight_pow: 2
+        use_kl_in_reward: false
+        use_pf_ppo: false
+critic:
+    value:
+        _target_: verl.workers.config.FSDPCriticConfig
+        checkpoint:
+            _target_: verl.trainer.config.CheckpointConfig
+            async_save: false
+            load_contents:
+                - model
+                - optimizer
+                - extra
+            save_contents:
+                - model
+                - optimizer
+                - extra
+        cliprange_value: 0.5
+        enable: null
+        forward_max_token_len_per_gpu: 32768
+        forward_micro_batch_size: null
+        forward_micro_batch_size_per_gpu: 1
+        grad_clip: 1
+        loss_agg_mode: token-mean
+        model:
+            _target_: verl.workers.config.FSDPCriticModelCfg
+            enable_activation_offload: false
+            enable_gradient_checkpointing: true
+            external_lib: null
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                entropy_checkpointing: false
+                entropy_from_logits_with_chunking: false
+                forward_only: false
+                forward_prefetch: false
+                fsdp_size: -1
+                model_dtype: fp32
+                offload_policy: false
+                optimizer_offload: false
+                param_offload: false
+                reshard_after_forward: true
+                strategy: fsdp
+                ulysses_sequence_parallel_size: 1
+                use_orig_params: false
+                use_torch_compile: true
+                wrap_policy:
+                    min_num_params: 0
+            lora_alpha: 16
+            lora_rank: 0
+            path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_fromit_think_bandit_multitask/global_step_100/qwen2.5_3b_actor_hf
+            target_modules: all-linear
+            tokenizer_path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_fromit_think_bandit_multitask/global_step_100/qwen2.5_3b_actor_hf
+            trust_remote_code: false
+            use_remove_padding: false
+            use_shm: false
+        optim:
+            _target_: verl.workers.config.FSDPOptimizerConfig
+            betas:
+                - 0.9
+                - 0.999
+            clip_grad: 1
+            lr: 1e-05
+            lr_warmup_steps: -1
+            lr_warmup_steps_ratio: 0
+            min_lr_ratio: 0
+            num_cycles: 0.5
+            total_training_steps: 200
+            warmup_style: constant
+            weight_decay: 0.01
+        ppo_epochs: 1
+        ppo_max_token_len_per_gpu: 32768
+        ppo_micro_batch_size: null
+        ppo_micro_batch_size_per_gpu: 1
+        ppo_mini_batch_size: 32
+        profiler:
+            _target_: verl.utils.profiler.ProfilerConfig
+            all_ranks: false
+            enable: false
+            ranks: []
+            save_path: outputs/profile
+            tool: null
+            tool_config:
+                npu:
+                    _target_: verl.utils.profiler.config.NPUToolConfig
+                    analysis: true
+                    contents: []
+                    discrete: false
+                    level: level1
+                nsys:
+                    _target_: verl.utils.profiler.config.NsightToolConfig
+                    discrete: false
+                torch:
+                    _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                    step_end: null
+                    step_start: 0
+                torch_memory:
+                    _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                    stack_depth: 32
+                    trace_alloc_max_entries: 100000
+        rollout_n: 1
+        shuffle: false
+        strategy: fsdp
+        ulysses_sequence_parallel_size: 1
+        use_dynamic_bsz: false
+ctx_manager:
+    value:
+        generation:
+            gen_config:
+                kwargs: null
+                response_length: 400
+                temperature: 1
+                top_k: -1
+                top_p: 1
+custom_envs:
+    value:
+        Bandit:
+            env_config:
+                split: train
+            env_instruction: ""
+            env_type: bandit
+            max_actions_per_traj: 1
+            max_tokens: 100
+        BanditTest:
+            env_config:
+                split: test
+            env_instruction: ""
+            env_type: bandit
+            max_actions_per_traj: 1
+            max_tokens: 100
+        CoordFrozenLake:
+            env_config:
+                observation_format: grid_coord
+            env_instruction: |
+                You are solving the FrozenLake puzzle. The observation includes both a symbol grid and zero-indexed coordinates for the start, goal, player, and any holes.
+                Coordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5).
+                Beware that the ice is slippery, so the agent might slide and end up in an unintended tile.
+                Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
+            env_type: frozen_lake
+            max_actions_per_traj: 25
+            max_tokens: 120
+        CoordSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 2
+                observation_format: grid_coord
+            env_instruction: "You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets.\nYou are provided with a symbol grid and the zero-indexed coordinates of the player, each box, and each target. \nCoordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5). \nWhen you are exactly next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box.\nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>.\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 120
+        Countdown:
+            env_config: null
+            env_instruction: 'You are solving the Countdown puzzle. You should use the num list to create an equation that equals the target. Example answer format: <think> To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3 = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
+            env_type: countdown
+            max_actions_per_traj: 1
+            max_tokens: 100
+        FrozenLake:
+            env_config: null
+            env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and go to the target. You may move to the unintended direction due to the slippery ice. Example answer format: <think>To forbid the hole and go to the target, I should go left then go up.</think><answer>Left || Up</answer>'
+            env_type: frozen_lake
+            max_actions_per_traj: 25
+            max_tokens: 100
+        LargerSokoban:
+            env_config:
+                dim_x: 8
+                dim_y: 8
+                max_steps: 100
+                num_boxes: 2
+                search_depth: 10
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        Lean:
+            env_config: null
+            env_instruction: You are a Lean theorem prover. Given a Lean theorem statement, propose a sequence of tactics that completes the proof. Think step by step about which tactics to apply next. Provide tactics separated by '||', for example <answer>intro || simp || rfl</answer>.
+            env_type: lean
+            max_actions_per_traj: 30
+            max_tokens: 512
+        MediumSudoku:
+            env_config:
+                difficulty: medium
+                grid_size: 9
+                max_steps: 81
+                render_format: with_feedback
+                show_conflicts: true
+                show_valid_numbers: true
+            env_instruction: |
+                You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 3x3 box contains the numbers 1-9 without repetition.
+                Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
+                Place numbers one at a time using the format: <answer>place 5 at row 2 col 3</answer> or <answer>2,3,5</answer>
+                The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
+            env_type: sudoku
+            max_actions_per_traj: 30
+            max_tokens: 150
+            max_workers: 32
+            parallel_friendly: false
+        MetamathQA:
+            env_config: null
+            env_instruction: 'You are solving Math problems. '
+            env_type: metamathqa
+            max_actions_per_traj: 1
+            max_tokens: 100
+        SimpleSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 2
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        SimpleSudoku:
+            env_config:
+                difficulty: easy
+                grid_size: 4
+                max_steps: 20
+                render_format: with_feedback
+                show_conflicts: false
+                show_valid_numbers: false
+            env_instruction: |
+                You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.
+                Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
+                Place numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>
+                The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
+            env_type: sudoku
+            max_actions_per_traj: 20
+            max_tokens: 150
+            max_workers: 32
+            parallel_friendly: false
+        SokobanDifferentGridVocab:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                grid_lookup:
+                    "0": W
+                    "1": .
+                    "2": G
+                    "3": C
+                    "4": B
+                    "5": A
+                    "6": '@'
+                grid_vocab:
+                    .: empty
+                    '@': player on target
+                    A: player
+                    B: box
+                    C: box on target
+                    G: target
+                    W: wall
+                max_steps: 100
+                num_boxes: 1
+                search_depth: 30
+            env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        VisualSimpleSokoban:
+            env_config:
+                dim_x: 6
+                dim_y: 6
+                max_steps: 100
+                num_boxes: 1
+                render_mode: rgb_array
+            env_instruction: You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets. When you are right next to a box, you can push it by moving in the same direction. You cannot push a box through a wall, and you cannot pull a box. The answer should be a sequence of actions, like <answer>Right || Right || Up</answer>
+            env_type: sokoban
+            max_actions_per_traj: 10
+            max_tokens: 100
+        WebShop:
+            env_config:
+                dataset: small
+            env_instruction: 'You are browsing an online shop. Based on the instruction, buy a product that close to the production description. You need to search, read the search results, pick a product, choose the size and color and buy. You should only choose action from the available actions list provided later.  Example process: I need a gingko light and 20x20 pillow cover that is hand painted. First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
+            env_type: webshop
+            max_actions_per_traj: 9
+            max_tokens: 200
+        blackjack:
+            env_config: null
+            env_instruction: |
+                You are playing Blackjack against a dealer. The dealer must hit on 16 or less and stand on 17 or more.
+                Choose either Stick or Hit. Respond with a single action.
+                Example: <answer>Hit</answer>
+            env_type: blackjack
+            max_actions_per_traj: 10
+            max_tokens: 64
+        game_2048:
+            env_config: null
+            env_instruction: |
+                You are playing the 2048 game on a 4x4 grid. Merge equal tiles by sliding Up, Right, Down, or Left.
+                If a move is invalid (no tiles move), a small penalty is applied. Respond with a single action.
+                Example: <answer>Up</answer>
+            env_type: game_2048
+            max_actions_per_traj: 700
+            max_tokens: 8192
+        rubikscube:
+            env_config:
+                max_steps: 20
+                render_mode: text
+                scramble_depth: 3
+            env_instruction: |
+                You are solving a 2x2 Rubik's Cube (Pocket Cube). The goal is to restore the cube so that each of the faces consists of a single, unique color.
+                Available actions use standard Singmaster notation for face rotations: U, U', D, D', L, L', R, R', F, F', B, B'.
+                - Faces: U (Up), D (Down), L (Left), R (Right), F (Front), B (Back).
+                - Modifiers: A letter alone means 90° clockwise (e.g., 'R'). A letter with prime (') means 90° counter-clockwise (e.g., "R'").
+                Respond with a sequence of actions separated by "||".
+                Example: <answer>U</answer>
+            env_type: rubikscube
+            max_actions_per_traj: 20
+            max_tokens: 96
+custom_reward_function:
+    value:
+        name: compute_score
+        path: null
+data:
+    value:
+        custom_cls:
+            name: null
+            path: null
+        datagen:
+            name: null
+            path: null
+        dataloader_num_workers: 8
+        filter_overlong_prompts: false
+        filter_overlong_prompts_workers: 1
+        image_key: images
+        max_prompt_length: null
+        max_response_length: null
+        prompt_key: prompt
+        return_full_prompt: false
+        return_multi_modal_inputs: true
+        return_raw_chat: false
+        return_raw_input_ids: false
+        reward_fn_key: data_source
+        sampler:
+            class_name: null
+            class_path: null
+        shuffle: true
+        tokenizer: null
+        train_batch_size: 128
+        train_files: ~/data/rlhf/gsm8k/train.parquet
+        truncation: error
+        trust_remote_code: false
+        use_shm: false
+        val_batch_size: null
+        val_files: ~/data/rlhf/gsm8k/test.parquet
+        validation_shuffle: false
+        video_key: videos
+enable_response_mask:
+    value: true
+es_manager:
+    value:
+        format_penalty: -0.1
+        train:
+            env_configs:
+                n_groups:
+                    - 8
+                tags:
+                    - CoordFrozenLake
+            env_groups: 8
+            group_size: 16
+        val:
+            env_configs:
+                n_groups:
+                    - 256
+                tags:
+                    - CoordFrozenLake
+            env_groups: 256
+            group_size: 1
+global_profiler:
+    value:
+        _target_: verl.utils.profiler.ProfilerConfig
+        global_tool_config:
+            nsys:
+                _target_: verl.utils.profiler.config.NsightToolConfig
+                controller_nsight_options:
+                    cuda-graph-trace: graph
+                    cuda-memory-usage: "true"
+                    trace: cuda,nvtx,cublas,ucx
+                discrete: false
+                worker_nsight_options:
+                    capture-range: cudaProfilerApi
+                    capture-range-end: null
+                    cuda-graph-trace: graph
+                    cuda-memory-usage: "true"
+                    kill: none
+                    trace: cuda,nvtx,cublas,ucx
+            torch_memory:
+                context: all
+                stack_depth: 32
+                stacks: all
+                trace_alloc_max_entries: 100000
+        profile_continuous_steps: false
+        save_path: outputs/profile
+        steps: null
+        tool: null
+grpo_advantage_length_weight:
+    value: false
+lora:
+    value:
+        alpha: 16
+        rank: 0
+        target_modules: all-linear
+micro_batch_size_per_gpu:
+    value: 1
+model_path:
+    value: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_fromit_think_bandit_multitask/global_step_100/qwen2.5_3b_actor_hf
+ppo_mini_batch_size:
+    value: 32
+ray_kwargs:
+    value:
+        ray_init:
+            num_cpus: null
+        timeline_json_file: null
+reward_model:
+    value:
+        enable: false
+        enable_resource_pool: false
+        forward_max_token_len_per_gpu: 32768
+        launch_reward_fn_async: false
+        max_length: null
+        micro_batch_size: null
+        micro_batch_size_per_gpu: null
+        model:
+            external_lib: null
+            fsdp_config:
+                _target_: verl.workers.config.FSDPEngineConfig
+                forward_prefetch: false
+                fsdp_size: -1
+                param_offload: false
+                reshard_after_forward: true
+                wrap_policy:
+                    min_num_params: 0
+            input_tokenizer: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_fromit_think_bandit_multitask/global_step_100/qwen2.5_3b_actor_hf
+            path: ~/models/FsfairX-LLaMA3-RM-v0.1
+            trust_remote_code: false
+            use_fused_kernels: false
+            use_remove_padding: false
+            use_shm: false
+        n_gpus_per_node: 0
+        nnodes: 0
+        profiler:
+            _target_: verl.utils.profiler.ProfilerConfig
+            all_ranks: false
+            enable: false
+            ranks: []
+            save_path: outputs/profile
+            tool: null
+            tool_config:
+                npu:
+                    _target_: verl.utils.profiler.config.NPUToolConfig
+                    analysis: true
+                    contents: []
+                    discrete: false
+                    level: level1
+                nsys:
+                    _target_: verl.utils.profiler.config.NsightToolConfig
+                    discrete: false
+                torch:
+                    _target_: verl.utils.profiler.config.TorchProfilerToolConfig
+                    step_end: null
+                    step_start: 0
+                torch_memory:
+                    _target_: verl.utils.profiler.config.TorchMemoryToolConfig
+                    stack_depth: 32
+                    trace_alloc_max_entries: 100000
+        reward_manager: naive
+        sandbox_fusion:
+            max_concurrent: 64
+            memory_limit_mb: 1024
+            url: null
+        strategy: fsdp
+        ulysses_sequence_parallel_size: 1
+        use_dynamic_bsz: false
+seed:
+    value:
+        train: 10000
+        val: 123
+system:
+    value:
+        CUDA_VISIBLE_DEVICES: 0,1,2,3,4,5,6,7
+trainer:
+    value:
+        balance_batch: true
+        critic_warmup: 0
+        default_hdfs_dir: null
+        default_local_dir: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_fromit_think_frozenlake_sequence_multitask
+        del_local_ckpt_after_load: false
+        device: cuda
+        esi_redundant_time: 0
+        experiment_name: frozen_lake--starpos-slippery_fromit_sequence_multitask
+        generations_to_log_to_wandb:
+            train: 128
+            val: 20
+        local_log_dir: results/
+        log_val_generations: 0
+        logger:
+            - console
+            - wandb
+        max_actor_ckpt_to_keep: 1
+        max_critic_ckpt_to_keep: 1
+        n_gpus_per_node: 8
+        nnodes: 1
+        project_name: ragen_latest_qwen2.5_3B_it_sequence_multitask
+        ray_wait_register_center_timeout: 300
+        resume_from_path: null
+        resume_mode: auto
+        rollout_data_dir: null
+        save_freq: 200
+        test_freq: 10
+        total_epochs: 30
+        total_training_steps: 200
+        use_legacy_worker_impl: auto
+        val_before_train: true
+        val_only: false
+        validation_data_dir: null
+        validation_steps: 1