Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1716948243.bornier-Vivobook-ASUSLaptop-X7400PC-N7400PC.47591.0 +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: -92.46 +/- 42.09
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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.1716948243.bornier-Vivobook-ASUSLaptop-X7400PC-N7400PC.47591.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:35a85ef6c2db30f904d95d8896a9e0046486ee1c7c1b2c62e873a8feac2a95a1
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size 74106
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb5f737f0711e0eff9b48fb85b35ad5ffe3b3f7193d5a499f4f0c490f9e193a4
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size 42898
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replay.mp4
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Binary file (20.1 kB). View file
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results.json
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{"gym_id": "LunarLander-v2", "mean_reward": -92.46061938927039, "std_reward": 42.093419610485476, "n_evaluation_episodes": 10, "eval_datetime": "2024-05-29T11:04:21.842974"}
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