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.optimizer.pth from mehmetyigitrl/LunarLanding: direct link, hf CLI and curl.
- Browser
- Download file 87.9 kB
-
https://huggingface.co/mehmetyigitrl/LunarLanding/resolve/main/FirstModel/policy.optimizer.pth
- Command line
-
hf download hf://mehmetyigitrl/LunarLanding/FirstModel/policy.optimizer.pth
-
curl -L -o policy.optimizer.pth https://huggingface.co/mehmetyigitrl/LunarLanding/resolve/main/FirstModel/policy.optimizer.pth
87.9 kB
- Xet hash:
- bf8f4a0dcf99ca9154b89e9a0b2c0fca348099bf788e625243d4627e77dcfcd5
- Size of remote file:
- 87.9 kB
- SHA256:
- 4f2badde6a21850ac95c16142f8aa0c2949bf89711f384b144a4e15d687e6db5
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