RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning
-
Updated
Feb 14, 2025 - Python
RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning
Offline reinforcement learning for sepsis treatment policy evaluation using Conservative Q-Learning on a MIMIC-IV v3.1 Sepsis-3 ICU cohort.
My coursework project proposing LAADAN-AC for safer offline decision-making, with future advancement toward adaptive social robotics. An extended version has been submitted for publication.
Add a description, image, and links to the conservative-q-learning topic page so that developers can more easily learn about it.
To associate your repository with the conservative-q-learning topic, visit your repo's landing page and select "manage topics."