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.optimizer.pth from Dabe/LunarLanderPPO2: direct link, hf CLI and curl.
- Browser
- Download file 87.9 kB
-
https://huggingface.co/Dabe/LunarLanderPPO2/resolve/main/Lunar_Lander/policy.optimizer.pth
- Command line
-
hf download hf://Dabe/LunarLanderPPO2/Lunar_Lander/policy.optimizer.pth
-
curl -L -o policy.optimizer.pth https://huggingface.co/Dabe/LunarLanderPPO2/resolve/main/Lunar_Lander/policy.optimizer.pth
87.9 kB
- Xet hash:
- 93874ced449894642f27823de7b2d0caeaefd183cacfee23780e5492b0829cf1
- Size of remote file:
- 87.9 kB
- SHA256:
- 41d6e5a9741fc53fdf9d3c45048ac231d4a081733b30e40c44229f86e66287e1
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