Emperor-WS
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Browse files- README.md +27 -0
- hyperparameters.json +1 -0
- model.pt +3 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
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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: Reinforce-pixelcopter
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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: 25.90 +/- 24.52
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name: mean_reward
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verified: false
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---
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# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
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This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
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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
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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}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:86b0c3043e7f55cec13bf20274b174345a8f0d0599f1eddf3ae4cffb905047e2
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size 39239
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replay.mp4
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Binary file (23 kB). View file
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results.json
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{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 25.9, "n_evaluation_episodes": 10, "eval_datetime": "2023-07-25T15:38:10.743997"}
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