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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: Reinforce-Pixelcopter-15000iter
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Pixelcopter-PLE-v0
+      type: Pixelcopter-PLE-v0
+    metrics:
+    - type: mean_reward
+      value: 39.10 +/- 34.44
+      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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+{"h_size": 64, "n_training_episodes": 15000, "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

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f65a58be1d658ba7604acdf460849ef5d59ca684553eb1b13610edb078c3016b
+size 39687

results.json

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+{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 39.1, "n_evaluation_episodes": 10, "eval_datetime": "2023-05-26T19:03:24.312513"}