Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Beniuv/model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Beniuv/model1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Beniuv/model1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a868c416ac7287304a2aaf8d04658346949fdfad9cc794d17b2ac84bd9b55ac1
- Size of remote file:
- 146 kB
- SHA256:
- e5104cf496b4aff5ba0d5568fc6ea97ac187be142e5a5465861e3b603fef4857
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