Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Utkarsh736/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Utkarsh736/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Utkarsh736/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v3.zip from Utkarsh736/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 150 kB
-
https://huggingface.co/Utkarsh736/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v3.zip
- Command line
-
hf download hf://Utkarsh736/ppo-LunarLander-v2/ppo-LunarLander-v3.zip
-
curl -L -o ppo-LunarLander-v3.zip https://huggingface.co/Utkarsh736/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v3.zip
150 kB
- Xet hash:
- 47b9baa108ab04d1634b33d1e83269c4b3f323e40be5e300a051295a1ffe40a9
- Size of remote file:
- 150 kB
- SHA256:
- 2f7fb58f034f2fee2d55e0ff71088b7b400a463f9de0bac440e005496083ebd4
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