21 citations · 22 across the 12 of their papers we have counts for
3 papers · 1 filter
Off-Policy Reinforcement Learning with High Dimensional Reward
Dong Neuck Lee, Michael R. Kosorok
Conventional off-policy reinforcement learning (RL) focuses on maximizing the expected return of scalar rewards. Distributional RL (DRL), in contrast, studies the distribution of r…
Uncertainty quantification for intervals
Carlos García Meixide, Michael R. Kosorok, Marcos Matabuena
Data following an interval structure are increasingly prevalent in many scientific applications. In medicine, clinical events are often monitored between two clinical visits, makin…
Medical Knowledge Integration into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Sophia Yazzourh, Nicolas Savy, Philippe Saint-Pierre +1
The goal of precision medicine is to provide individualized treatment at each stage of chronic diseases, a concept formalized by Dynamic Treatment Regimes (DTR). These regimes adap…