sdpkjc commited on
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pushing model

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.gitattributes CHANGED
@@ -37,3 +37,6 @@ videos/HalfCheetah-v4__ppo_fix_continuous_action__3__1702935469-eval/rl-video-ep
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  videos/HalfCheetah-v4__ppo_fix_continuous_action__3__1702935469-eval/rl-video-episode-1.mp4 filter=lfs diff=lfs merge=lfs -text
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  videos/HalfCheetah-v4__ppo_fix_continuous_action__3__1702935469-eval/rl-video-episode-0.mp4 filter=lfs diff=lfs merge=lfs -text
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  replay.mp4 filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  videos/HalfCheetah-v4__ppo_fix_continuous_action__3__1702935469-eval/rl-video-episode-1.mp4 filter=lfs diff=lfs merge=lfs -text
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  videos/HalfCheetah-v4__ppo_fix_continuous_action__3__1702935469-eval/rl-video-episode-0.mp4 filter=lfs diff=lfs merge=lfs -text
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  replay.mp4 filter=lfs diff=lfs merge=lfs -text
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+ videos/HalfCheetah-v4__ppo_fix_continuous_action__3__1704463457-eval/rl-video-episode-8.mp4 filter=lfs diff=lfs merge=lfs -text
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+ videos/HalfCheetah-v4__ppo_fix_continuous_action__3__1704463457-eval/rl-video-episode-1.mp4 filter=lfs diff=lfs merge=lfs -text
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+ videos/HalfCheetah-v4__ppo_fix_continuous_action__3__1704463457-eval/rl-video-episode-0.mp4 filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -16,7 +16,7 @@ model-index:
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  type: HalfCheetah-v4
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  metrics:
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  - type: mean_reward
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- value: 1753.29 +/- 28.06
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  name: mean_reward
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  verified: false
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  ---
 
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  type: HalfCheetah-v4
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  metrics:
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  - type: mean_reward
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+ value: 1769.82 +/- 30.38
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  name: mean_reward
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  verified: false
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  ---
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ppo_fix_continuous_action.py CHANGED
@@ -430,7 +430,7 @@ if __name__ == "__main__":
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  # https://github.com/DLR-RM/stable-baselines3/pull/658
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  for idx, trunc in enumerate(truncations):
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- if trunc:
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  real_next_obs = infos["final_observation"][idx]
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  with torch.no_grad():
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  terminal_value = agent.get_value(torch.Tensor(real_next_obs).to(device)).reshape(1, -1)[0][0]
 
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  # https://github.com/DLR-RM/stable-baselines3/pull/658
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  for idx, trunc in enumerate(truncations):
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+ if trunc and not terminations[idx]:
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  real_next_obs = infos["final_observation"][idx]
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  with torch.no_grad():
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  terminal_value = agent.get_value(torch.Tensor(real_next_obs).to(device)).reshape(1, -1)[0][0]
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