Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use TyurinYuriRost/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use TyurinYuriRost/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="TyurinYuriRost/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from TyurinYuriRost/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/TyurinYuriRost/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://TyurinYuriRost/ppo-LunarLander-v2/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/TyurinYuriRost/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2.zip
147 kB
- Xet hash:
- 31f8e9a7b2047eeff467db7291d469919a1e16362126f6c683683ae6f738d9cd
- Size of remote file:
- 147 kB
- SHA256:
- 9a751f32a698e28662bfb69b7ae619c758bce976456cb1772eb6e5904441d2b7
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