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data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s0_session_df_eval.csv

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data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s0_session_metrics_scalar_eval.json

@@ -0,0 +1,9 @@
+{
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+  "strength": 37.168949127197266,
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+  "final_strength": 48.568939208984375,
+  "sample_efficiency": 2.038133395387831e-08,
+  "training_efficiency": 1.0446845408296213e-05,
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+}

data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s0_session_metrics_scalar_train.json

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+}

data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s1_session_df_eval.csv

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data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s1_session_metrics_scalar_eval.json

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data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s1_session_metrics_scalar_train.json

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data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s3_session_metrics_scalar_eval.json

@@ -0,0 +1,9 @@
+{
+  "total_reward_ma": 48.957313537597656,
+  "strength": 34.588104248046875,
+  "max_strength": 49.70331573486328,
+  "final_strength": 48.77472686767578,
+  "sample_efficiency": 1.868607668598088e-08,
+  "training_efficiency": 9.57674092205707e-06,
+  "stability": 0.9916911125183105
+}

data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s3_session_metrics_scalar_train.json

@@ -0,0 +1,9 @@
+{
+  "total_reward_ma": 48.957313537597656,
+  "strength": 34.588104248046875,
+  "max_strength": 49.70331573486328,
+  "final_strength": 48.77472686767578,
+  "sample_efficiency": 1.868607668598088e-08,
+  "training_efficiency": 9.57674092205707e-06,
+  "stability": 0.9916911125183105
+}

data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/info/ppo_playground_loco_precise_spotflatterrainjoystick_t0_trial_metrics_scalar.json

@@ -0,0 +1,11 @@
+{
+  "frame": 100003840.0,
+  "total_reward_ma": 48.58272171020508,
+  "strength": 36.48127746582031,
+  "max_strength": 49.3758659362793,
+  "final_strength": 48.47161865234375,
+  "sample_efficiency": 1.9996292621726752e-08,
+  "training_efficiency": 1.024921493808506e-05,
+  "stability": 0.9922890663146973,
+  "consistency": 0.8836678862571716
+}

data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/log/ppo_playground_loco_precise_spotflatterrainjoystick_t0.log

@@ -0,0 +1,5 @@
+2026-03-16 18:53:32 | INFO | PID:1802 | slm_lab.lib.logger:info | trial_metrics: frame:1.00e+08 | total_reward_ma:48.58 | strength:36.48 | max_strength:49.38 | final_strength:48.47 | sample_efficiency:2e-08 | training_efficiency:1.025e-05 | stability:0.9923 | consistency:0.8837
+2026-03-16 18:53:32 | INFO | PID:1802 | slm_lab.lib.logger:info | Trial 0 done
+2026-03-16 18:53:32 | INFO | PID:1802 | slm_lab.cli.main:run_spec | Output: data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747
+2026-03-16 18:53:32 | INFO | PID:1802 | slm_lab.lib.hf:cleanup_models | Cleanup saved 16.1 MB
+2026-03-16 18:53:33 | INFO | PID:1802 | slm_lab.lib.hf:upload | Uploading data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747 to SLM-Lab/benchmark-dev/data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747...

data/ppo_playground_loco_precise_spotflatterrainjoystick_2026_03_16_180747/log/ppo_playground_loco_precise_spotflatterrainjoystick_t0_s2.log

@@ -0,0 +1 @@
+2026-03-16 18:07:52 | INFO | PID:1922 | slm_lab.env:make_env | Playground device: GPU (cuda) — DLPack zero-copy