Learning adversary behavior in security games: A PAC model perspective

• Main Authors: SINHA, Arunesh, KAR, Debarun, TAMBE, Milind
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4661; https://ink.library.smu.edu.sg/context/sis_research/article/5664/viewcontent/AAMAS2016PAC_1_.pdf
• Institution: Singapore Management University

Recent applications of Stackelberg Security Games (SSG), from wildlife crime to urban crime, have employed machine learning tools to learn and predict adversary behavior using available data about defender-adversary interactions. Given these recent developments, this paper commits to an approach of...