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Push Reinforce agent to the Hub

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Files changed (6) hide show
  1. .gitattributes +1 -0
  2. README.md +27 -0
  3. hyperparameters.json +1 -0
  4. model.pt +3 -0
  5. replay.mp4 +3 -0
  6. results.json +1 -0
.gitattributes CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - Pixelcopter-PLE-v0
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+ - reinforce
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+ - reinforcement-learning
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+ - custom-implementation
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+ - deep-rl-class
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+ model-index:
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+ - name: Reinforce-PixelCopter-v2
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+ results:
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+ - task:
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+ type: reinforcement-learning
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+ name: reinforcement-learning
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+ dataset:
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+ name: Pixelcopter-PLE-v0
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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: 18.50 +/- 21.02
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+ name: mean_reward
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+ verified: false
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+ ---
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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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+
hyperparameters.json ADDED
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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}
model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:6e7f8a7e3c8b1b428afa7dc9baf68ae83a539d761f376a88cd541c727f6fe21b
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+ size 4703
replay.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:1f7bed3e3c91d067e830ea729b3a9541bfd6e7e1aba91664f7e6f74f5f82a682
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+ size 7101
results.json ADDED
@@ -0,0 +1 @@
 
 
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+ {"env_id": "Pixelcopter-PLE-v0", "mean_reward": 18.5, "n_evaluation_episodes": 10, "eval_datetime": "2022-11-15T22:20:02.105654"}