Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use VectorZhao/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use VectorZhao/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="VectorZhao/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41f44363e54d6c8de3c0893c718e093929e88aa34cad151eae9144ee0b2f0ff2
- Size of remote file:
- 148 kB
- SHA256:
- 29a3090fa164ff5b8c8d02342d50986be7e1b1cd8f4639435334f73336ffe39b
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