Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use antonioschiro/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use antonioschiro/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="antonioschiro/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e8950b52f4e21c85c3d36a868a1e7c3ee91090fb0e8c219f8d8c2b5ab974495
- Size of remote file:
- 149 kB
- SHA256:
- dcb037776d2e2635636bff6123e84ea654310b379a74bf7349d804ac63970526
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