Push Q-Learning agent to Hub
Browse files- README.md +6 -5
- q-learning.pkl +2 -2
- replay.mp4 +2 -2
- results.json +1 -1
README.md
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model-index:
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- name: q-FrozenLake-v1-4x4-noSlippery
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results:
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- type: mean_reward
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value: 1.00 +/- 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: FrozenLake-v1-4x4-no_slippery
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type: FrozenLake-v1-4x4-no_slippery
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---
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# **Q-Learning** Agent playing **FrozenLake-v1**
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model-index:
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- name: q-FrozenLake-v1-4x4-noSlippery
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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: FrozenLake-v1-4x4-no_slippery
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type: FrozenLake-v1-4x4-no_slippery
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metrics:
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- type: mean_reward
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value: 1.00 +/- 0.00
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name: mean_reward
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verified: false
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---
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# **Q-Learning** Agent playing **FrozenLake-v1**
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q-learning.pkl
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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 sha256:3ff5c0bf6313bab9f4cbc957ef72bfb0ecff5f69ab6ea46579e0f13f3053208a
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size 914
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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:adbc1b365e0fd896bc74f2f11c38909e0d009e9e1361ff3f8e27882e40369891
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size 31145
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results.json
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{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2022-
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{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2022-10-30T04:47:46.969671"}
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