Push Reinforce agent to the Hub
Browse files- .gitattributes +1 -0
- README.md +25 -0
- hyperparameters.json +1 -0
- model.pt +3 -0
- replay.mp4 +3 -0
- results.json +1 -0
.gitattributes
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README.md
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---
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tags:
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- Pong-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-Pong
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results:
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- metrics:
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- type: mean_reward
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value: -16.00 +/- 0.00
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name: mean_reward
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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: Pong-PLE-v0
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type: Pong-PLE-v0
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---
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# **Reinforce** Agent playing **Pong-PLE-v0**
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This is a trained model of a **Reinforce** agent playing **Pong-PLE-v0** .
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hyperparameters.json
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{"h_size": 64, "n_training_episodes": 10000, "n_evaluation_episodes": 10, "max_t": 5000, "gamma": 0.99, "lr": 0.01, "env_id": "Pong-PLE-v0", "state_space": 7, "action_space": 3}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:502a10e5ecc485979e7c05be382b88562c92bf7a7705307177a41b1b1ef71af3
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size 39447
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed0c04319cf92131228bb3493c5b9dc253f2c283841699d2e56f3f28b5fcf19a
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size 14816
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results.json
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{"env_id": "Pong-PLE-v0", "mean_reward": -16.0, "n_evaluation_episodes": 10, "eval_datetime": "2022-07-03T16:28:36.363353"}
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