Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use JohnnyZeppelin/ppo-LunarLander-v3-Showcase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use JohnnyZeppelin/ppo-LunarLander-v3-Showcase with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="JohnnyZeppelin/ppo-LunarLander-v3-Showcase", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cf3e9f5a758a5896af75fea02177e6000b1c656f029b9086637f225969393ab
- Size of remote file:
- 189 kB
- SHA256:
- 546cf63de328e98a8fe42c2aa0f166b4325dde72dede686f7a8130a6cb027bf0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.