Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DarkRodry/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DarkRodry/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DarkRodry/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download base_tutorial_model.zip from DarkRodry/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/DarkRodry/ppo-LunarLander-v2/resolve/main/base_tutorial_model.zip
- Command line
-
hf download hf://DarkRodry/ppo-LunarLander-v2/base_tutorial_model.zip
-
curl -L -o base_tutorial_model.zip https://huggingface.co/DarkRodry/ppo-LunarLander-v2/resolve/main/base_tutorial_model.zip
147 kB
- Xet hash:
- 2d8b51dbca4a6e453346cc5744b2fa73620220f8c3293d9c790c5eec33322b3b
- Size of remote file:
- 147 kB
- SHA256:
- e6bc4fb42fd2607ea899d134dc7d86728d41955228add74e028412674aa7da7e
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