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data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s0_session_df_eval.csv

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data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s0_session_metrics_scalar_eval.json

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data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s0_session_metrics_scalar_train.json

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data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s1_session_df_eval.csv

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data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s1_session_metrics_scalar_eval.json

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data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s1_session_metrics_scalar_train.json

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data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s2_session_df_train.csv

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data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s2_session_metrics_scalar_eval.json

@@ -0,0 +1,9 @@
+{
+  "total_reward_ma": 32.120243072509766,
+  "strength": 23.331058502197266,
+  "max_strength": 35.129920959472656,
+  "final_strength": 31.986661911010742,
+  "sample_efficiency": 2.230783024970151e-08,
+  "training_efficiency": 1.143098506872775e-05,
+  "stability": 0.9764955639839172
+}

data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_s2_session_metrics_scalar_train.json

@@ -0,0 +1,9 @@
+{
+  "total_reward_ma": 32.120243072509766,
+  "strength": 23.331058502197266,
+  "max_strength": 35.129920959472656,
+  "final_strength": 31.986661911010742,
+  "sample_efficiency": 2.230783024970151e-08,
+  "training_efficiency": 1.143098506872775e-05,
+  "stability": 0.9764955639839172
+}

data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/info/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0_trial_metrics_scalar.json

@@ -0,0 +1,11 @@
+{
+  "frame": 100001792.0,
+  "total_reward_ma": 32.29274368286133,
+  "strength": 23.404653549194336,
+  "max_strength": 35.046207427978516,
+  "final_strength": 32.89065170288086,
+  "sample_efficiency": 2.258929576726132e-08,
+  "training_efficiency": 1.1575110875128303e-05,
+  "stability": 0.9762973189353943,
+  "consistency": 0.8672845363616943
+}

data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019/log/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_t0.log

@@ -0,0 +1,5 @@
+2026-03-14 22:38:05 | INFO | PID:1619 | slm_lab.lib.logger:info | trial_metrics: frame:1.00e+08 | total_reward_ma:32.29 | strength:23.4 | max_strength:35.05 | final_strength:32.89 | sample_efficiency:2.259e-08 | training_efficiency:1.158e-05 | stability:0.9763 | consistency:0.8673
+2026-03-14 22:38:05 | INFO | PID:1619 | slm_lab.lib.logger:info | Trial 0 done
+2026-03-14 22:38:05 | INFO | PID:1619 | slm_lab.cli.main:run_spec | Output: data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019
+2026-03-14 22:38:05 | INFO | PID:1619 | slm_lab.lib.hf:cleanup_models | Cleanup saved 17.6 MB
+2026-03-14 22:38:05 | INFO | PID:1619 | slm_lab.lib.hf:upload | Uploading data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019 to SLM-Lab/benchmark-dev/data/ppo_playground_loco_precise_berkeleyhumanoidjoystickflatterrain_2026_03_14_213019...