Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use anshulsc/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use anshulsc/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="anshulsc/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from anshulsc/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/anshulsc/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://anshulsc/ppo-LunarLander-v2/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/anshulsc/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2.zip
147 kB
- Xet hash:
- 065553460a782b3a91549f4375b5fd3ed506e76e8f7c6fdb65d17e6ed6ad4b00
- Size of remote file:
- 147 kB
- SHA256:
- 8d620f320b30b637d1895f660589408a558e02fcb03c383e58fba5a5fae50225
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