Push Reinforce agent to the Hub
Browse files- README.md +1 -1
- hyperparameters.json +1 -1
- model.pt +2 -2
- replay.mp4 +2 -2
- results.json +1 -1
README.md
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@@ -10,7 +10,7 @@ model-index:
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results:
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- metrics:
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- type: mean_reward
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value:
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name: mean_reward
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task:
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type: reinforcement-learning
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results:
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- metrics:
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- type: mean_reward
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value: 500.00 +/- 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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hyperparameters.json
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@@ -1 +1 @@
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{"h_size": 16, "n_training_episodes":
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{"h_size": 16, "n_training_episodes": 5000, "n_evaluation_episodes": 50, "max_t": 1000, "gamma": 0.999, "lr": 0.003, "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:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:d340bd0954ec898e8a2513e414b23ce8349658978e562db910d66f4970983087
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size 2719
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:937623ffe9589624e8c032d5a4763417fe3b54ced1bbc31cc06fbe891b11f649
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size 39690
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results.json
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{"env_id": "CartPole-v1", "mean_reward":
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{"env_id": "CartPole-v1", "mean_reward": 500.0, "n_evaluation_episodes": 50, "eval_datetime": "2022-07-15T00:01:27.187457"}
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