rebolforces
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Push Reinforce agent to the Hub
Browse files- .gitattributes +1 -0
- README.md +27 -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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- CartPole-v1
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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-CartPole-v1-baseline
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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: CartPole-v1
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type: CartPole-v1
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metrics:
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- type: mean_reward
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value: 215.80 +/- 39.04
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name: mean_reward
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verified: false
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---
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# **Reinforce** Agent playing **CartPole-v1**
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This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
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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": 16, "n_training_episodes": 1000, "n_evaluation_episodes": 10, "max_t": 1000, "gamma": 1.0, "lr": 0.01, "env_id": "CartPole-v1", "state_space": 4, "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 sha256:11529650eacd753b866f11ba22a7172284bcb69001c56cd9111c726054293a6c
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size 2591
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:15ea060c7cb10bbc0d3241d29f476601e7aba5e87560d19a7376a6092817d623
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size 25003
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results.json
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{"env_id": "CartPole-v1", "mean_reward": 215.8, "n_evaluation_episodes": 10, "eval_datetime": "2022-08-28T04:16:32.284836"}
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