Reinforcement Learning
stable-baselines3
TensorBoard
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Youtaaa/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Youtaaa/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Youtaaa/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40a2ee2c94976e0c715533f8c6d239e0915a0d3464fe215747dcc4f79285f53a
- Size of remote file:
- 43.3 kB
- SHA256:
- faf68d8c18c357a4e78567eeef6f5605c2052cce6ab653c023fee480d4acde32
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.