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sac-Walker2DBulletEnv-v0

Reinforcement Learning
stable-baselines3
Walker2DBulletEnv-v0
deep-reinforcement-learning
Eval Results
Model card Files Community
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Files changed (5) hide show
  1. README.md +1 -1
  2. replay.mp4 +0 -0
  3. results.json +1 -1
  4. sac-Walker2DBulletEnv-v0.zip +1 -1
  5. vec_normalize.pkl +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
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  type: Walker2DBulletEnv-v0
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  metrics:
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  - type: mean_reward
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- value: 433.49 +/- 263.68
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  name: mean_reward
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  verified: false
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  ---
 
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  type: Walker2DBulletEnv-v0
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  metrics:
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  - type: mean_reward
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+ value: 401.82 +/- 303.89
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  name: mean_reward
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  verified: false
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  ---
replay.mp4 CHANGED
Binary files a/replay.mp4 and b/replay.mp4 differ
 
results.json CHANGED
@@ -1 +1 @@
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- {"mean_reward": 433.4866362870438, "std_reward": 263.68102388111316, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-23T00:06:39.182972"}
 
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sac-Walker2DBulletEnv-v0.zip CHANGED
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