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2015
Springer

A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium)

3 years 6 months ago
A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium)
Given the real-world applications of Stackelberg security games (SSGs), addressing uncertainties in these games is a major challenge. Two competitive approaches have been pursued by previous work on addressing uncertainties in SSGs, namely: (1) applying robust optimization techniques without requiring a prior distribution; and (2) using probabilistic models to capture uncertainties. In general, the decision of which approach to use is based on the availability of data. While the first approach suits data-sparse domains, the second approach works better for data-rich domains. My thesis will focus on addressing uncertainties in SSGs following these two leading approaches. In particular, with regards to robust methods, I attempt to develop new maximin/minimax regret-based robust algorithms for computing a defender’s optimal strategy given uncertainties. I also aim to contribute to probabilistic modeling techniques by developing a new computational model of human decision making to cap...
Thanh Hong Nguyen, Milind Tambe
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where ATAL
Authors Thanh Hong Nguyen, Milind Tambe
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