Reinforcement Learning
ml-agents
ONNX
deep-reinforcement-learning
SnowballTarget
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use rondahahda/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use rondahahda/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="rondahahda/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download training.log from rondahahda/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 4.21 kB
-
https://huggingface.co/rondahahda/ppo-SnowballTarget/resolve/main/training.log
- Command line
-
hf download hf://rondahahda/ppo-SnowballTarget/training.log
-
curl -L -o training.log https://huggingface.co/rondahahda/ppo-SnowballTarget/resolve/main/training.log
4.21 kB
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| Version information: | |
| ml-agents: 1.2.0.dev0, | |
| ml-agents-envs: 1.2.0.dev0, | |
| Communicator API: 1.5.0, | |
| PyTorch: 2.2.2+cu121 | |
| [INFO] Connected to Unity environment with package version 2.1.0-exp.1 and communication version 1.5.0 | |
| [INFO] Connected new brain: SnowballTarget?team=0 | |
| [INFO] Hyperparameters for behavior name SnowballTarget: | |
| trainer_type: ppo | |
| hyperparameters: | |
| batch_size: 128 | |
| buffer_size: 2048 | |
| learning_rate: 0.0003 | |
| beta: 0.005 | |
| epsilon: 0.2 | |
| lambd: 0.95 | |
| num_epoch: 3 | |
| shared_critic: False | |
| learning_rate_schedule: linear | |
| beta_schedule: linear | |
| epsilon_schedule: linear | |
| checkpoint_interval: 50000 | |
| network_settings: | |
| normalize: False | |
| hidden_units: 256 | |
| num_layers: 2 | |
| vis_encode_type: simple | |
| memory: None | |
| goal_conditioning_type: hyper | |
| deterministic: False | |
| reward_signals: | |
| extrinsic: | |
| gamma: 0.99 | |
| strength: 1.0 | |
| network_settings: | |
| normalize: False | |
| hidden_units: 128 | |
| num_layers: 2 | |
| vis_encode_type: simple | |
| memory: None | |
| goal_conditioning_type: hyper | |
| deterministic: False | |
| init_path: None | |
| keep_checkpoints: 5 | |
| even_checkpoints: False | |
| max_steps: 200000 | |
| time_horizon: 64 | |
| summary_freq: 10000 | |
| threaded: False | |
| self_play: None | |
| behavioral_cloning: None | |
| [INFO] SnowballTarget. Step: 10000. Time Elapsed: 65.297 s. Mean Reward: 4.500. Std of Reward: 1.725. Training. | |
| [INFO] SnowballTarget. Step: 20000. Time Elapsed: 126.340 s. Mean Reward: 6.945. Std of Reward: 2.203. Training. | |
| [INFO] SnowballTarget. Step: 30000. Time Elapsed: 204.251 s. Mean Reward: 10.136. Std of Reward: 3.035. Training. | |
| [INFO] SnowballTarget. Step: 40000. Time Elapsed: 290.814 s. Mean Reward: 10.618. Std of Reward: 2.693. Training. | |
| [INFO] SnowballTarget. Step: 50000. Time Elapsed: 376.351 s. Mean Reward: 13.227. Std of Reward: 2.214. Training. | |
| [INFO] Exported results/SnowballTarget-course-20260925-v2/SnowballTarget/SnowballTarget-49936.onnx | |
| [INFO] SnowballTarget. Step: 60000. Time Elapsed: 460.009 s. Mean Reward: 14.655. Std of Reward: 2.718. Training. | |
| [INFO] SnowballTarget. Step: 70000. Time Elapsed: 550.002 s. Mean Reward: 15.886. Std of Reward: 3.135. Training. | |
| [INFO] SnowballTarget. Step: 80000. Time Elapsed: 677.162 s. Mean Reward: 18.109. Std of Reward: 2.755. Training. | |
| [INFO] SnowballTarget. Step: 90000. Time Elapsed: 782.237 s. Mean Reward: 19.977. Std of Reward: 2.580. Training. | |
| [INFO] Learning was interrupted. Please wait while the graph is generated. | |
| [INFO] Exported results/SnowballTarget-course-20260925-v2/SnowballTarget/SnowballTarget-91608.onnx | |
| [INFO] Copied results/SnowballTarget-course-20260925-v2/SnowballTarget/SnowballTarget-91608.onnx to results/SnowballTarget-course-20260925-v2/SnowballTarget.onnx. | |