Push Reinforce agent to the Hub
Browse files- README.md +1 -1
- model.pt +1 -1
- 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: 17.20 +/- 18.85
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name: mean_reward
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task:
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type: reinforcement-learning
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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 12319
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7fd931c9b6fcbb9769d64d13ac589c3af5fe16fc50944a2bcb414e170d68d8e
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size 12319
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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:f9e69173eff48f9a31095487acb67c3ee5b8b908a01847b9118ccc1136f5946b
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size 7656
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results.json
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@@ -1 +1 @@
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{"env_id": "Pixelcopter-PLE-v0", "mean_reward":
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{"env_id": "Pixelcopter-PLE-v0", "mean_reward": 17.2, "n_evaluation_episodes": 10, "eval_datetime": "2022-07-05T18:37:38.396823"}
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