Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use promsoft/ll2022-05-09-lunar4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use promsoft/ll2022-05-09-lunar4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="promsoft/ll2022-05-09-lunar4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79035aeea254b397f1dacb0c0297439cd5d789285c14ed3d9ced472a5738a071
- Size of remote file:
- 230 kB
- SHA256:
- d135667511c746d426ae00842e6863e8334455b0f104b9e838f9f8e90c29edcf
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