Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1719299924.d86c7902bfd0.3111.0 +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: 153.21 +/- 61.69
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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.1719299924.d86c7902bfd0.3111.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:87e75405a83bd823d6ec7ce92d705169b835c07281fb17b3d3c7241c028d79d3
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size 308259
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2bba0bd967a8ffa4b826eb2c195964a1d8e63b6f2daefffbc041dd27cdcac909
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size 23144
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replay.mp4
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Binary file (116 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": 153.21302323962686, "std_reward": 61.69473564544674, "n_evaluation_episodes": 10, "eval_datetime": "2024-06-25T07:40:07.138832"}
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