Solving online threat screening games using constrained action space reinforcement learning

• Main Authors: SHAH, Sanket, SINHA, Arunesh, VARAKANTHAM, Pradeep, PERRAULT, Andrew, TAMBE, Millind
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Airport passenger; Linear inequality constraints; Markov Decision Processes; Potential threats; Resource capacity; Screening procedures; Screening strategy; Stackelberg Games; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/5077; https://ink.library.smu.edu.sg/context/sis_research/article/6080/viewcontent/AAAI_ShahS.10043.pdf
• Institution: Singapore Management University

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 can observe screening procedures and arrive at a time when there will be gaps in screening due to limited resource capac...