Augmented Patient Preference Incorporated Reinforcement Learning (APP-RL) to Estimate the Optimal Dynamic Treatment Regime

Dynamic treatment regimes (DTRs) are sequential decision rules that individualize treatments to each patient at each treatment stage adapting to their past clinical course. Existing literature typically accommodates each individual's medical history, but overlooks a patient's preferences. We propose