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.
Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains
Haifeng Xu,Fei Fang,A. Jiang,Vincent Conitzer,S. Dughmi,Milind Tambe
Published 2014 in AAAI Conference on Artificial Intelligence
ABSTRACT
PUBLICATION RECORD
- Publication year
2014
- Venue
AAAI Conference on Artificial Intelligence
- Publication date
2014-06-21
- Fields of study
Mathematics, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-17 of 17 references · Page 1 of 1
CITED BY
Showing 1-28 of 28 citing papers · Page 1 of 1