Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use FloTeur/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use FloTeur/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="FloTeur/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from FloTeur/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 125 kB
-
https://huggingface.co/FloTeur/ppo-LunarLander-v2/resolve/main/replay.mp4
- Command line
-
hf download hf://FloTeur/ppo-LunarLander-v2/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/FloTeur/ppo-LunarLander-v2/resolve/main/replay.mp4
125 kB
- Xet hash:
- 9786fd4d7b7f97ee7227bdb15d416ebe499f55934ed1ef4b5ba9116b6d9ec31a
- Size of remote file:
- 125 kB
- SHA256:
- 493f6ab6fc47b79665c9e3678f5c05399b82645861b8072d9e5f368749469bf0
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