RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning
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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.
Offline RL on Procgen CoinRun with visual data augmentation, comparing Behavior Cloning, IQL and CQL for generalization to unseen levels.
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