Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Xxmlala/DRL-Course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Xxmlala/DRL-Course with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Xxmlala/DRL-Course", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bebda39d0d8dd23a73152efa42ce43114f630546d047e83c85637d73895b411
- Size of remote file:
- 147 kB
- SHA256:
- 342de971ec71f75dd0f9aaddeb2d44adcdbd59201c63a2dd32c6ec6f82941b6e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.