Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use promsoft/ll2022-05-09-jh1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use promsoft/ll2022-05-09-jh1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="promsoft/ll2022-05-09-jh1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f66196c0c5cadbf42cac6391a5efb278fd8c6edec08e05a5ee7ff319ee96128
- Size of remote file:
- 52.8 kB
- SHA256:
- 38d93b8ed5547c8ebec63455e0168fe7ee9b2e147eacbf3d522f92ec83774ca0
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