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  1. README.md +2 -2
  2. hyperparameters.json +1 -1
  3. model.pt +2 -2
  4. replay.mp4 +2 -2
  5. results.json +1 -1
README.md CHANGED
@@ -16,12 +16,12 @@ model-index:
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  type: Pixelcopter-PLE-v0
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  metrics:
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  - type: mean_reward
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- value: 11.10 +/- 9.15
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  name: mean_reward
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  verified: false
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  ---
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  # **Reinforce** Agent playing **Pixelcopter-PLE-v0**
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  This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
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- To learn to use this model and train yours check Unit 5 of the Deep Reinforcement Learning Class: https://github.com/huggingface/deep-rl-class/tree/main/unit5
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  type: Pixelcopter-PLE-v0
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  metrics:
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  - type: mean_reward
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+ value: 18.90 +/- 8.83
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  name: mean_reward
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  verified: false
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  ---
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  # **Reinforce** Agent playing **Pixelcopter-PLE-v0**
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  This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
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+ To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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hyperparameters.json CHANGED
@@ -1 +1 @@
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- {"h_size": 64, "n_training_episodes": 50000, "n_evaluation_episodes": 10, "max_t": 10000, "gamma": 0.99, "lr": 0.0001, "env_id": "Pixelcopter-PLE-v0", "state_space": 7, "action_space": 2}
 
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+ {"h_size": 64, "n_training_episodes": 36000, "n_evaluation_episodes": 10, "max_t": 10000, "gamma": 0.99, "lr": 0.0001, "env_id": "Pixelcopter-PLE-v0", "state_space": 7, "action_space": 2}
model.pt CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- size 4703
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:23a2bd95b3f6d4c23afcec63484d8f211a38d3f06cc66226dd20f73dc235a4e2
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+ size 38983
replay.mp4 CHANGED
@@ -1,3 +1,3 @@
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- size 21848
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:f2c95b5d295d8cc154822045a1e4ecea59c1387f6524f77e582b1fc107c51312
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+ size 8612
results.json CHANGED
@@ -1 +1 @@
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- {"env_id": "Pixelcopter-PLE-v0", "mean_reward": 11.1, "n_evaluation_episodes": 10, "eval_datetime": "2022-11-10T10:24:17.013845"}
 
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+ {"env_id": "Pixelcopter-PLE-v0", "mean_reward": 18.9, "n_evaluation_episodes": 10, "eval_datetime": "2023-03-31T19:58:01.449925"}