Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use epsil/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use epsil/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="epsil/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download LunarLander.zip from epsil/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/epsil/ppo-LunarLander-v2/resolve/main/LunarLander.zip
- Command line
-
hf download hf://epsil/ppo-LunarLander-v2/LunarLander.zip
-
curl -L -o LunarLander.zip https://huggingface.co/epsil/ppo-LunarLander-v2/resolve/main/LunarLander.zip
144 kB
- Xet hash:
- 98347a8825ce2a4d79a259d2819ab0b995a668de1188b82db15721dd1e3129ab
- Size of remote file:
- 144 kB
- SHA256:
- 4e8d98cd7e5f851f18a300a4be679bbcdb8fc71a64ef7c79e0e35c393deb565f
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