1 citations · 1 across the 3 of their papers we have counts for
3 papers
Dynamic Welfare-Maximizing Pooled Testing
Edwin Lock, Nicholas Lopez, Francisco Marmolejo-Cossío +2
Pooled testing uses one test to certify several agents as healthy when the pooled result is negative. We study a budget-constrained welfare problem in which agents have heterogeneo…
Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-Making with Inverse Reinforcement Learning
Inko Bovenzi, Adi Carmel, Michael Hu +5
In aims to uncover insights into medical decision-making embedded within observational data from clinical settings, we present a novel application of Inverse Reinforcement Learning…
Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19
Luis Benavides-Vázquez, Héctor Alonso Guzmán-Gutiérrez, Jakob Jonnerby +5
This work sets out a testing and containment framework developed for reopening universities in Mexico following the lockdown due to COVID-19. We treat diagnostic testing as a resou…