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:
- c015fc5e5c335c79c99c735aa5c65c5493653639705e99e0d45bf8e6a79814ef
- Size of remote file:
- 43.8 kB
- SHA256:
- 1eb91903943bb6d22e5a9727a7d0363bc338ccbf1600f697fe678764cdfb3133
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