Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1717321999.8724e7269c4f.21560.0 +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: 0.77 +/- 0.56
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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.1717321999.8724e7269c4f.21560.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6a5758f17d4bd40b9dd4aa391489c4fbfee51b0dac472d7ad0c05a87c7320bc
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size 669999
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb3392c48b57d508f7e2f9466ed19c66fc3641da160f7ba140ed1cf48aaee67d
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size 42898
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replay.mp4
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Binary file (198 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": 0.7745206696184816, "std_reward": 0.564314171780031, "n_evaluation_episodes": 10, "eval_datetime": "2024-06-02T09:58:29.763857"}
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