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...

In this paper, we study platform solutions for improving customer engagement in online higher education by reducing inequality for historically under-represented groups in education such as females and workers seeking to improve their skill set. Using novel search and enrollment data from the...

The electricity policy targets aim to provide sustainable and reliable electricity with efficient prices under uncertain demand. Any solution addressing a subset of the policy targets can affect the others. Therefore, all policy targets should be addressed simultaneously. Moreover, in the...

A main research goal in various studies is to use an observational data set and provide a new set of counterfactual guidelines that can yield causal improvements. Dynamic Treatment Regimes (DTRs) are widely studied to formalize this process and enable researchers to find guidelines that are both...