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.zip from mehmetyigitrl/LunarLanding: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/mehmetyigitrl/LunarLanding/resolve/main/FirstModel.zip
- Command line
-
hf download hf://mehmetyigitrl/LunarLanding/FirstModel.zip
-
curl -L -o FirstModel.zip https://huggingface.co/mehmetyigitrl/LunarLanding/resolve/main/FirstModel.zip
147 kB
- Xet hash:
- 50c908bb698b0b633abbf650ff1df97bca6dd39f36d4e6fa551b7c441e43d0e4
- Size of remote file:
- 147 kB
- SHA256:
- e0e4fc26a0c25802112abf7f397bb7304bafaef82544f485a7ef035a9500659c
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