Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use mehmetyigitrl/LunarLanding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mehmetyigitrl/LunarLanding with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mehmetyigitrl/LunarLanding", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download FirstModel/policy.pth from mehmetyigitrl/LunarLanding: direct link, hf CLI and curl.
- Browser
- Download file 43.4 kB
-
https://huggingface.co/mehmetyigitrl/LunarLanding/resolve/main/FirstModel/policy.pth
- Command line
-
hf download hf://mehmetyigitrl/LunarLanding/FirstModel/policy.pth
-
curl -L -o policy.pth https://huggingface.co/mehmetyigitrl/LunarLanding/resolve/main/FirstModel/policy.pth
43.4 kB
- Xet hash:
- 08b5c86d5c4f4775bd11cffac78069ec30da0590ef53ee2eb4971c3f445fc6d1
- Size of remote file:
- 43.4 kB
- SHA256:
- c480850c859a5d25d0ee88b5daec885c7ece7478af851e7fd67672b096230a25
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