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appo-mujoco-walker

Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
Eval Results
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  1. .summary/0/events.out.tfevents.1695283788.rhmmedcatt-ProLiant-ML350-Gen10 +3 -0
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  5. .summary/1/events.out.tfevents.1695284225.rhmmedcatt-ProLiant-ML350-Gen10 +3 -0
  6. README.md +1 -1
  7. checkpoint_p0/best_000007432_3805184_reward_50.301.pth +3 -0
  8. checkpoint_p0/checkpoint_000027016_13832192.pth +3 -0
  9. checkpoint_p0/checkpoint_000027176_13914112.pth +3 -0
  10. checkpoint_p1/best_000004256_2179072_reward_119.367.pth +3 -0
  11. checkpoint_p1/checkpoint_000019384_9924608.pth +3 -0
  12. checkpoint_p1/checkpoint_000019544_10006528.pth +1 -1
  13. config.json +5 -4
  14. git.diff +0 -0
  15. replay.mp4 +2 -2
  16. sf_log.txt +0 -0
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README.md CHANGED
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  type: mujoco_swimmer
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  metrics:
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  - type: mean_reward
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- value: 42.85 +/- 1.52
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  name: mean_reward
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  verified: false
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  ---
 
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  type: mujoco_swimmer
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  metrics:
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  - type: mean_reward
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+ value: 39.18 +/- 2.88
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  name: mean_reward
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  verified: false
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config.json CHANGED
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  "rollout": 64,
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- "command_line": "--env=mujoco_swimmer --experiment=Swimmer --train_dir=./train_dir",
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  "wandb_tags": [
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  "cli_args": {
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+ "algo": "APPO",
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  "env": "mujoco_swimmer",
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  "experiment": "Swimmer",
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  "train_dir": "./train_dir"
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