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.zip from Dabe/LunarLanderPPO2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/Dabe/LunarLanderPPO2/resolve/main/Lunar_Lander.zip
- Command line
-
hf download hf://Dabe/LunarLanderPPO2/Lunar_Lander.zip
-
curl -L -o Lunar_Lander.zip https://huggingface.co/Dabe/LunarLanderPPO2/resolve/main/Lunar_Lander.zip
147 kB
- Xet hash:
- 47c06171869d46041d60d89225f4e667780ce76561c411058b8e5cfc28fa47a3
- Size of remote file:
- 147 kB
- SHA256:
- f424898d1f331ea779ecbcefdca5b4f59d1d60268e5babcb7deee189f8710c09
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