Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use threite/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use threite/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="threite/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download myFirstRLModel.zip from threite/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/threite/ppo-LunarLander-v2/resolve/main/myFirstRLModel.zip
- Command line
-
hf download hf://threite/ppo-LunarLander-v2/myFirstRLModel.zip
-
curl -L -o myFirstRLModel.zip https://huggingface.co/threite/ppo-LunarLander-v2/resolve/main/myFirstRLModel.zip
147 kB
- Xet hash:
- 5c666e7eaa5e609b066b0427dcbfc8cbd281e50ccd67026802377ca7f4bb8953
- Size of remote file:
- 147 kB
- SHA256:
- 40da728610c0c344105e63ec218a4d186c0e51b7dacaf0caa46fa420237b89aa
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