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:
- 88af93c528116819e2e8c4aa8ae733d5b914811b7d0e450ae2f57d7095b6e625
- Size of remote file:
- 88 kB
- SHA256:
- 25c991071720859cf8e3d3ca2c8eae7d33717de763f3d3360b205a71688ce886
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