Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DanTim05/study with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DanTim05/study with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DanTim05/study", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Upload PPO LunarLander-v2 trained agent
Browse files- README.md +1 -1
- done_lunar_lander_v2.zip +1 -1
- results.json +1 -1
README.md
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type: LunarLander-v3
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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type: LunarLander-v3
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metrics:
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- type: mean_reward
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value: 261.29 +/- 18.41
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name: mean_reward
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verified: false
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---
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done_lunar_lander_v2.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 150230
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version https://git-lfs.github.com/spec/v1
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oid sha256:35a9a6272e94d4da67bc38597456824effe84e66c7c99c7df05d5a38d603e9b4
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size 150230
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results.json
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{"mean_reward":
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{"mean_reward": 261.29160450000006, "std_reward": 18.405498667104006, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-02-19T09:40:02.715993"}
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