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README.md

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+---
+tags:
+- Pixelcopter-PLE-v0
+- reinforce
+- reinforcement-learning
+- custom-implementation
+- deep-rl-class
+model-index:
+- name: PolicyGradient-Pixelcopter-PLE-v0-50000
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Pixelcopter-PLE-v0
+      type: Pixelcopter-PLE-v0
+    metrics:
+    - type: mean_reward
+      value: 8.20 +/- 7.78
+      name: mean_reward
+      verified: false
+---
+
+  # **Reinforce** Agent playing **Pixelcopter-PLE-v0**
+  This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
+  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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+{"learning_rate": 5.694903610704851e-05, "n_hidden_units": 128, "n_hidden_layers": 2, "gamma": 0.9161375654946996}

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:03480f4a9ba56b77eef1c5a1da0f5ed1311995dfa14e615d91e83e822c10f824
+size 75133

results.json

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+{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 8.2, "n_evaluation_episodes": 10, "eval_datetime": "2025-08-18T13:53:13.033256"}