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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-PLE-v0
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Pixelcopter-PLE-v0
+      type: Pixelcopter-PLE-v0
+    metrics:
+    - type: mean_reward
+      value: 81.50 +/- 44.36
+      name: mean_reward
+      verified: false
+---
+
+# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
+This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0**.
+Mean Reward: 81.50 +/- 44.36

hyperparameters.json

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+{"h_size": 64, "n_training_episodes": 50000, "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 sha256:7694c3783b8ad60fbffbdfc7d3b2f8b0e302d37a6dd466c77642ad1a609437f9
+size 39860

results.json

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+{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 81.5, "n_evaluation_episodes": 10, "eval_datetime": "2025-12-03T23:58:06.936386"}