Push agent to the Hub
Browse files- README.md +30 -0
- logs/events.out.tfevents.1724482852.W11-AI24.49859.0 +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: -175.77 +/- 88.48
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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.1724482852.W11-AI24.49859.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c67e1e548b1b35e5055fefb5a6e5a136c4acdb68a1fa492b9fbc9f74c53c3975
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size 109738
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:37edf988003b7b6c9ccaebf4e45eb6db520b9aa5792d589794f9831eda81747d
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size 43026
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replay.mp4
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Binary file (25.1 kB). View file
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results.json
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{"env_id": "LunarLander-v2", "mean_reward": -175.77443715815238, "std_reward": 88.4846740647708, "n_evaluation_episodes": 10, "eval_datetime": "2024-08-24T09:01:20.639019"}
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