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README.md

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+---
+tags:
+- CartPole-v1
+- reinforce
+- reinforcement-learning
+- custom-implementation
+- deep-rl-class
+model-index:
+- name: PolicyGradient-Cartpole-v1
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: CartPole-v1
+      type: CartPole-v1
+    metrics:
+    - type: mean_reward
+      value: 500.00 +/- 0.00
+      name: mean_reward
+      verified: false
+---
+
+  # **Reinforce** Agent playing **CartPole-v1**
+  This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
+  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
+  

hyperparameters.json

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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

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+version https://git-lfs.github.com/spec/v1
+oid sha256:18c241b6a65f24aecf4df1cd4814538caf0635096212d30be19d062fc02fd63a
+size 39751

results.json

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+{"env_id": "CartPole-v1", "mean_reward": 500.0, "n_evaluation_episodes": 10, "eval_datetime": "2023-07-05T02:33:38.988813"}