Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jcms-bits/Deep_RL_Course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jcms-bits/Deep_RL_Course with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jcms-bits/Deep_RL_Course", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd2eb49123cdf46e765173377845256ed611274ca634e08fdc787c2f7236de43
- Size of remote file:
- 88.4 kB
- SHA256:
- a4d5e29e5fa79be8e1469650e00f85738f18c8a491a740c69b25a122cd41d039
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