Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use CumulusAlpha/my_first_drl_practice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use CumulusAlpha/my_first_drl_practice with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="CumulusAlpha/my_first_drl_practice", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 408b7f1ed72204488b223c22397ad959084c8faf44c086f1977a1747f0c412f3
- Size of remote file:
- 189 kB
- SHA256:
- ab8d1c7d20690e90f644b184db9ee498dad994bf168f8aefda9fbb5d461208d8
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