4 papers
Optimizing Treatment Allocation to Maximize the Health of a Population
Daniel Adelman, Alba V Olivares-Nadal, Miaolan Xie
Recent shifts in global health priorities have positioned Population Health Management (PHM) as a central area of focus. However, optimizing PHM strategies presents several challen…
Dynamic Basis Function Generation for Network Revenue Management
Daniel Adelman, Christiane Barz, Alba V. Olivares-Nadal
This paper introduces an algorithm that dynamically generates basis functions to approximate the value function in Network Revenue Management. Unlike existing algorithms sampling t…
Thompson Sampling for Infinite-Horizon Discounted Decision Processes
Daniel Adelman, Cagla Keceli, Alba V. Olivares-Nadal
This paper develops a framework for learning in discounted infinite-horizon Markov decision processes (MDPs) with Borel state and action spaces, whose rewards and transitions depen…
Measurized Markov Decision Processes
Daniel Adelman, Alba V. Olivares-Nadal
In this paper, we explore lifting Markov Decision Processes (MDPs) to the space of probability measures and consider the so-called measurized MDPs: deterministic processes where st…