15 citations · 59 across the 17 of their papers we have counts for
3 papers · 1 filter
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Sanket Shah, Arunesh Sinha, Pradeep Varakantham +2
Large-scale screening for potential threats with limited resources and capacity for screening is a problem of interest at airports, seaports, and other ports of entry. Adversaries…
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty
Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen +2
Controlling recurrent infectious diseases is a vital yet complicated problem. In this paper, we propose a novel active screening model (ACTS) and algorithms to facilitate active sc…
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
Andrew Perrault, Bryan Wilder, Eric Ewing +3
Stackelberg security games are a critical tool for maximizing the utility of limited defense resources to protect important targets from an intelligent adversary. Motivated by gree…