Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use hugoguh/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use hugoguh/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="hugoguh/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo_lunar.zip from hugoguh/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/hugoguh/ppo-LunarLander-v2/resolve/main/ppo_lunar.zip
- Command line
-
hf download hf://hugoguh/ppo-LunarLander-v2/ppo_lunar.zip
-
curl -L -o ppo_lunar.zip https://huggingface.co/hugoguh/ppo-LunarLander-v2/resolve/main/ppo_lunar.zip
144 kB
- Xet hash:
- 668c02eb738b9e027c1173cd16bc7ef245de13cef689edc05ba2de7da40f666c
- Size of remote file:
- 144 kB
- SHA256:
- dd764f34622903d6c53ae1f1a2c435116808839162dd068bccbbe90bf3e86962
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