Saraswati commited on
Commit
de67804
1 Parent(s): 97d9274

Push Reinforce agent to the Hub

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Files changed (6) hide show
  1. .gitattributes +1 -0
  2. README.md +26 -0
  3. hyperparameters.json +1 -0
  4. model.pt +3 -0
  5. replay.mp4 +3 -0
  6. results.json +1 -0
.gitattributes CHANGED
@@ -29,3 +29,4 @@ 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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  *.zstandard 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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  *.zstandard 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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+ - CartPole-v1
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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: ppo-CartPole-v1
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+ results:
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+ - metrics:
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+ - type: mean_reward
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+ value: 97.60 +/- 21.26
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+ name: mean_reward
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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: CartPole-v1
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+ type: CartPole-v1
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+ ---
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+
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+ # **Reinforce** Agent playing **CartPole-v1**
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+ This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
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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
@@ -0,0 +1 @@
 
 
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+ {"h_size": 16, "n_training_episodes": 1000, "n_evaluation_episodes": 10, "max_t": 1000, "gamma": 1.0, "lr": 0.01, "env_id": "CartPole-v1", "state_space": 4, "action_space": 2}
model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0ef55fc79bde94a75eec2d6b35b2b6c31f9396a1fef031e36a4062e8055d0f7e
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+ size 2591
replay.mp4 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:91c542ffb7f97916c453caaafe1757ba4a8a8ba9ad4dc3647a0cf92692e8e5c9
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+ size 13628
results.json ADDED
@@ -0,0 +1 @@
 
 
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+ {"env_id": "CartPole-v1", "mean_reward": 97.6, "n_evaluation_episodes": 10, "eval_datetime": "2022-08-05T04:43:58.787888"}