Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Clausewitz99/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Clausewitz99/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Clausewitz99/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c2e7de69198b1f979261f4906619efb28b9bd069724061f1115b6550f670fae
- Size of remote file:
- 148 kB
- SHA256:
- c318afcbc4d82e9d5802bdd32f4934cc94df03bd118398a06c554536eb354bc9
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