Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Aedelon/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Aedelon/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Aedelon/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7ce340a60ec717f167a33c6f7220141b18ffcb8231159108e02c94de781186d
- Size of remote file:
- 43.6 kB
- SHA256:
- b210cdd64198333d79024c4099a2282cdf125a8eb9376a59608db37ed435b123
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