Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jarguello76/reinforcement_learning_lunar_landing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jarguello76/reinforcement_learning_lunar_landing with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jarguello76/reinforcement_learning_lunar_landing", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f589a371379f5afcbcccbdef5ac004a0d9e3614c35ed652843a2335521ebc07f
- Size of remote file:
- 148 kB
- SHA256:
- 9eed1756bc051255f87e6932eefdec75854dc62756b0a52470bab541bcd1311d
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