Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use abdelhakim96/deep-rl-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use abdelhakim96/deep-rl-class with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="abdelhakim96/deep-rl-class", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c89b7163becc905f4cea105a16a07e438864cd85772cb6fd1c1f205b0edd5b5
- Size of remote file:
- 169 kB
- SHA256:
- a9f56f3bd23fc08cb47ea685da68242919cd5072f2599b38bf3af2fbbd46a26e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.