Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AtilliO/Lander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AtilliO/Lander with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AtilliO/Lander", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eab06c4ff03f34cd2ea0ef6680dfa5c47986ca98a8d662cf1a4e02d374448dc4
- Size of remote file:
- 87.9 kB
- SHA256:
- 25c476ab8e054a8a4474846302088d12687e66179fe826e4df97507437211bfa
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