Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Dabe/LunarLanderPPO2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Dabe/LunarLanderPPO2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Dabe/LunarLanderPPO2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download Lunar_Lander/policy.pth from Dabe/LunarLanderPPO2: direct link, hf CLI and curl.
- Browser
- Download file 43.4 kB
-
https://huggingface.co/Dabe/LunarLanderPPO2/resolve/main/Lunar_Lander/policy.pth
- Command line
-
hf download hf://Dabe/LunarLanderPPO2/Lunar_Lander/policy.pth
-
curl -L -o policy.pth https://huggingface.co/Dabe/LunarLanderPPO2/resolve/main/Lunar_Lander/policy.pth
43.4 kB
- Xet hash:
- a30cc9d7ce9639a599f086473977b32fb6bba5a2fd01d48c86a9c806a18b985b
- Size of remote file:
- 43.4 kB
- SHA256:
- 7dda572132be6c1154ae5775c68e5475ab4e31d7296b9e2f7ac76d836f9a7269
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