Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1701444561.4b861f5d93d1.10671.0 +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: -123.94 +/- 68.73
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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.1701444561.4b861f5d93d1.10671.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc34daa5b19e82fe4be0038fd1f9488ad47bafc6131c5d68bd01c0289765a26f
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size 110091
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea7adaf29ec4a7754b07ad326b8010d322ac5eb5ac24d758e971d51f95c5895e
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size 43026
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replay.mp4
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Binary file (22.7 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -123.93616840862371, "std_reward": 68.73213845549175, "n_evaluation_episodes": 10, "eval_datetime": "2023-12-01T15:30:09.561563"}
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