Push Reinforce agent to the Hub
Browse files- .gitattributes +1 -0
- README.md +26 -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: pong-reinforce
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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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To learn to use this model and train yours check Unit 5 of the Deep Reinforcement Learning Class: https://github.com/huggingface/deep-rl-class/tree/main/unit5
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hyperparameters.json
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{"h_size": 128, "n_training_episodes": 20000, "n_evaluation_episodes": 10, "max_t": 5000, "gamma": 0.99, "lr": 0.001, "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:a995edaa763da386bc366b7114970990b90b69b8f86325ea249f44fbc62ec2e0
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size 144973
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8b5c63ff7594789af926646ac2065c922a80580f9c329df9531c50d54acfeae
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size 11653
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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": "2022-07-25T01:40:23.944017"}
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