Learning adversary behavior in security games: A PAC model perspective

• المؤلفون الرئيسيون: SINHA, Arunesh, KAR, Debarun, TAMBE, Milind
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2016
• الموضوعات: Databases and Information Systems
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/4661; https://ink.library.smu.edu.sg/context/sis_research/article/5664/viewcontent/AAMAS2016PAC_1_.pdf

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...