@inproceedings{d83a8fd8839341329385486fb445c27d,
title = "Unleashing Dec-MDPs in security games: Enabling effective defender teamwork",
abstract = "Multiagent teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for effective teamwork among multiple defenders, little has been done to harness the teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for effective teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent teamwork.",
author = "Eric Shieh and Jiang, \{Albert Xin\} and Amulya Yadav and Pradeep Varakantham and Milind Tambe",
note = "Publisher Copyright: {\textcopyright} 2014 The Authors and IOS Press.; 21st European Conference on Artificial Intelligence, ECAI 2014 ; Conference date: 18-08-2014 Through 22-08-2014",
year = "2014",
doi = "10.3233/978-1-61499-419-0-819",
language = "English (US)",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "819--824",
editor = "Torsten Schaub and Gerhard Friedrich and Barry O'Sullivan",
booktitle = "ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings",
}