Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SmartPy/LunarLander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SmartPy/LunarLander with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SmartPy/LunarLander", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4275c5e2a65e337de35ee698539fde191df6f309fb0fe2d4c14eaae3879ec34
- Size of remote file:
- 147 kB
- SHA256:
- cd2202f3f375930009f39ab415b82f52d45de349a33cd5ffe0a880765b30875a
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