Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jefsnacker/rl_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jefsnacker/rl_class with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jefsnacker/rl_class", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb2f9b0004b9b12f7199889fbb93fcc513fdbbea72ab0ee52fcd8f1bec5e6af4
- Size of remote file:
- 199 kB
- SHA256:
- c7177274cf95b706be25cee9b48e911aea2285376e745f08ae4b755e6868bdca
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