Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use msthil/Unit3-RL-Course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use msthil/Unit3-RL-Course with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="msthil/Unit3-RL-Course", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7afdad4178fdb30e023cadb6d33679833c31b289e522641cfb498b5c73a5deb
- Size of remote file:
- 37.4 kB
- SHA256:
- 2bdd8e2f1f9e9f64e511b888e8661c91265bd00eb553f3ac2bf237e623bff3c4
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