Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jcmc/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jcmc/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jcmc/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download lunar.zip from jcmc/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/jcmc/ppo-LunarLander-v2/resolve/main/lunar.zip
- Command line
-
hf download hf://jcmc/ppo-LunarLander-v2/lunar.zip
-
curl -L -o lunar.zip https://huggingface.co/jcmc/ppo-LunarLander-v2/resolve/main/lunar.zip
144 kB
- Xet hash:
- 0c96529c1969718edfd9bae5ebf4b9bfd691edb4ef26212f5d0b38368fedc512
- Size of remote file:
- 144 kB
- SHA256:
- a1380e12f938cf0efe9beb992f64c02b2a0d06456c7d5c39b2c687302f78bbf7
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