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  1. README.md +26 -0
  2. hyperparameters.json +1 -0
  3. model.pt +3 -0
  4. replay.mp4 +0 -0
  5. results.json +1 -0
README.md ADDED
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+ ---
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+ tags:
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+ - Pixelcopter-PLE-v0
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+ - reinforce
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+ - reinforcement-learning
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+ - custom-implementation
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+ - deep-rl-class
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+ model-index:
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+ - name: Pixelcopter-PLE-v0
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+ results:
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+ - task:
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+ type: reinforcement-learning
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+ name: reinforcement-learning
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+ dataset:
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+ name: Pixelcopter-PLE-v0
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+ type: Pixelcopter-PLE-v0
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+ metrics:
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+ - type: mean_reward
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+ value: 16.50 +/- 13.09
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+ name: mean_reward
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+ verified: false
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+ ---
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+
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+ # Reinforce Agent playing Pixelcopter-PLE-v0
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+
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+ This is a trained Reinforce agent playing **Pixelcopter-PLE-v0**.
hyperparameters.json ADDED
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+ {"h_size": 64, "n_training_episodes": 10000, "n_evaluation_episodes": 10, "max_t": 10000, "gamma": 0.97, "lr": 0.0001, "env_id": "Pixelcopter-PLE-v0", "state_space": 7, "action_space": 2}
model.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:66ef03d1f704916c961f120aa82a0d4c6b4708dfe368eae6e1cdba0031b9cfa4
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+ size 40125
replay.mp4 ADDED
Binary file (21.8 kB). View file
 
results.json ADDED
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+ {"env_id": "Pixelcopter-PLE-v0", "mean_reward": 16.5, "n_evaluation_episodes": 10, "eval_datetime": "2025-11-13T20:33:11.171637"}