Organ-transplanted patients typically receive high amounts of immunosuppressive drugs (e.g., tacrolimus) as a mechanism to reduce their risk of organ rejection. However, due to the diabetogenic effect of these drugs, this practice exposes them to greater risk of New-Onset Diabetes After...

In a variety of applications, decisions needs to be made dynamically after receiving imperfect observations about the state of an underlying system. Partially Observable Markov Decision Processes (POMDPs) are widely used in such applications. To use a POMDP, however, a decision-maker must have...

Intervention policies, like stay-at-home orders, are shown to be effective in controlling the spread of the novel Coronavirus Disease 2019 (COVID-19). However, concerns over economic burdens of these policies have propelled U.S. states to move towards reopening. Decision-making in most states...

Markov Decision Processes (MDPs) have been widely used as invaluable tools in dynamic decision-making, which is a central concern for economic agents operating at both the micro and macro levels. Often the decision maker's information about the state is incomplete; hence, the generalization to...