Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use aidiary/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use aidiary/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="aidiary/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c86721c0ba418be83529a03b92ac3f3ba5af625284bfab449755bdb4e73fc64
- Size of remote file:
- 147 kB
- SHA256:
- 1a92eb09d0472ef7e8f518003064320bf6f47131650e4284edcdd4001908f0fd
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