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: 81.61 +/- 7.99
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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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{"h_size":
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{"h_size": 32, "n_training_episodes": 10000, "n_evaluation_episodes": 100, "max_t": 1000, "gamma": 0.995, "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:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:58477eebf4316d8995d4bb9e612dc12baf16708833315614d35a10c7b9b2a944
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size 3103
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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 sha256:973df1a5d7e82ba4abf794e7392bc3a051f2a801db8e3c0c7d47aabfa8044f00
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size 10151
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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": 81.61, "std_reward": 7.991113814731961, "n_evaluation_episodes": 100, "eval_datetime": "2022-07-28T21:59:38.194617", "hyperparameters": {"h_size": 32, "n_training_episodes": 10000, "n_evaluation_episodes": 100, "max_t": 1000, "gamma": 0.995, "lr": 0.01, "env_id": "CartPole-v1", "state_space": 4, "action_space": 2}}
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