Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1687167521.ditrip.10208.0 +3 -0
- model.pt +3 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
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---
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tags:
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- LunarLander-v2
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- ppo
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- deep-reinforcement-learning
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- reinforcement-learning
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- custom-implementation
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- deep-rl-course
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model-index:
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- name: PPO
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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: LunarLander-v2
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: -106.68 +/- 48.84
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name: mean_reward
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verified: false
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---
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# PPO Agent Playing LunarLander-v2
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This is a trained model of a PPO agent playing LunarLander-v2.
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# Hyperparameters
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logs/events.out.tfevents.1687167521.ditrip.10208.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7367658cb53113449ebce89f26e570dee8c2cd5ebf547c0f91fcf5d51627430
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size 114005
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d07c8a4f53def58592c1d3d6be1f2347f7f7e1a6bd135d97a239799e9d28e2e5
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size 42817
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replay.mp4
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Binary file (20.9 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -106.67590467605312, "std_reward": 48.840011262513684, "n_evaluation_episodes": 10, "eval_datetime": "2023-06-19T12:39:08.381438"}
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