Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use M2LabOrg/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use M2LabOrg/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="M2LabOrg/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c3c2f9988f1c3ca5f7efb9150c402bae34aad4ab4e74032549d4a8a493dfe43
- Size of remote file:
- 148 kB
- SHA256:
- 76d0fb25305cd5118c122f097d85f2a6cd60332b260f17db71fd8ef495f2464e
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