Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use EthanQ/hf_DRL_Course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use EthanQ/hf_DRL_Course with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="EthanQ/hf_DRL_Course", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 280b2d23dfbefb6ac25448a3dda81a8b1468b2fe76c9b610146a43e412875743
- Size of remote file:
- 148 kB
- SHA256:
- 14f6469dc91a99d8905958a153cd08ba2bb2f0b8810f8edb3a9757b7e8651838
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.