Push agent to the Hub
Browse files- README.md +30 -0
- model_scripted.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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- ppo
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- deep-reinforcement-learning
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- reinforcement-learning
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- custom-implementation
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- deep-rl-course
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model-index:
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- name: SARSA_QLEARNING
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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: 21.20 +/- 28.76
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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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# Hyperparameters
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model_scripted.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:59a3f71cd34445b9cfc14174f8d269c309f5f9ad0e812296524b436d724ed1c0
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size 1186823
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replay.mp4
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Binary file (12.8 kB). View file
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results.json
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{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 21.2, "std_reward": 28.763866221354874, "n_evaluation_episodes": 10, "eval_datetime": "2024-03-31T20:20:02.633317"}
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