Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains

Authors

  • Haifeng Xu University of Southern California
  • Fei Fang University of Southern California
  • Albert Jiang University of Southern California
  • Vincent Conitzer Duke University
  • Shaddin Dughmi University of Southern California
  • Milind Tambe University of Southern California

DOI:

https://doi.org/10.1609/aaai.v28i1.8878

Keywords:

Security Games, Zero-Sum Games, Minimax Equilibrium, Oracle, Equilibria Computation

Abstract

Among the many deployment areas of Stackelberg Security games, a major area involves games played out in space and time, which includes applications in multiple mobile defender resources protecting multiple mobile targets. Previous algorithms for such spatio-temporal security games fail to scale-up and little is known ofthe computational complexity properties of these problems.This paper provides a novel oracle-based algorithmic framework for a systematic study of different problem variants of computing optimal (minimax) strategies in spatio-temporal security games. Our framework enables efficient computation of a minimax strategy when the problem admits a polynomial-time oracle. Furthermore,for the cases in which efficient oracles are difficultto find, we propose approximations or prove hardness results.

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Published

2014-06-21

How to Cite

Xu, H., Fang, F., Jiang, A., Conitzer, V., Dughmi, S., & Tambe, M. (2014). Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1). https://doi.org/10.1609/aaai.v28i1.8878

Issue

Section

AAAI Technical Track: Multiagent Systems