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  1. README.md +27 -0
  2. hyperparameters.json +1 -0
  3. model.pt +3 -0
  4. replay.mp4 +0 -0
  5. results.json +1 -0
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: PolicyGradient-Cartpole-v1
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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: CartPole-v1
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+ type: CartPole-v1
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+ metrics:
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+ - type: mean_reward
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+ value: 500.00 +/- 0.00
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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 **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 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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+
hyperparameters.json ADDED
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+ {"h_size": 128, "n_training_episodes": 1000, "n_evaluation_episodes": 10, "max_t": 500, "gamma": 0.99, "lr": 0.0001, "env_id": "CartPole-v1", "state_space": 4, "action_space": 2}
model.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:18c241b6a65f24aecf4df1cd4814538caf0635096212d30be19d062fc02fd63a
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+ size 39751
replay.mp4 ADDED
Binary file (51.2 kB). View file
 
results.json ADDED
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+ {"env_id": "CartPole-v1", "mean_reward": 500.0, "n_evaluation_episodes": 10, "eval_datetime": "2023-07-05T02:33:38.988813"}