Conference articles PUBLISHED

1. Xu, H; Fang, F; Jiang, AX; Conitzer, V; Dughmi, S; Tambe, M, Solving zero-sum security games in discretized spatio-temporal domains, Proceedings of the National Conference on Artificial Intelligence, vol. 2 (January, 2014), pp. 1500-1506.
   (last updated on 2024/04/24)

   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 muitipte mobile defender resources protecting multiple mobile targets. Previous algorithms for such spatio-temporal security games fail to scale-up and little is known of the 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 difficult to find, we propose approximations or prove hardness results.