Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use latticetower/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use latticetower/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="latticetower/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-Lander.zip from latticetower/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/latticetower/ppo-LunarLander-v2/resolve/main/ppo-Lander.zip
- Command line
-
hf download hf://latticetower/ppo-LunarLander-v2/ppo-Lander.zip
-
curl -L -o ppo-Lander.zip https://huggingface.co/latticetower/ppo-LunarLander-v2/resolve/main/ppo-Lander.zip
144 kB
- Xet hash:
- a50a6859168af2d9d09cc273277ec25652f2805c2f9d2bafa7434f5d41bbe20d
- Size of remote file:
- 144 kB
- SHA256:
- babcb0171890139cd4d9a80327cfe7a41f28c6d538f3fe875531a754cee78c47
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