Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use zdm-code/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use zdm-code/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="zdm-code/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ee4d5f0138aba89f9508dec485f70f1b863135cb00a2bb7da84106e3259889d
- Size of remote file:
- 147 kB
- SHA256:
- 08baaab26c1692bb273b0177131f40a82f8e311a68e9cea366998386cdbbc41d
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