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cs.AI2026
Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment
Daniel J. Tan, Jayne Hui Zhen Chan, Kai Wen Hwang +3
Designing reward functions for reinforcement learning (RL) in healthcare remains challenging because clinically meaningful outcomes are sparse, delayed, and difficult to explicitly…
cs.AI2025
Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework
Daniel J. Tan, Qianyi Xu, Kay Choong See +2
In healthcare, multi-organ system diseases pose unique and significant challenges as they impact multiple physiological systems concurrently, demanding complex and coordinated trea…