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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: PPO-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: 3.70 +/- 5.88
+      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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+{"n_steps": 1024, "batch_size": 64, "n_epochs": 4, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "verbose": 1}

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f2fe080f5bafb38905751dbcd6424397e69216c6c0eb9a4e2c7af20232c0224a
+size 144107

results.json

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+{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 3.7, "n_evaluation_episodes": 10, "eval_datetime": "2023-11-27T15:44:50.498676"}