Abstract The Stackelberg Security Game (SSG) model has been immensely influential in
security research since it was introduced roughly a decade ago. Furthermore, deployed SSG …

In many practical applications, such as poker, chess, drug interdiction, cybersecurity, and
national defense, players often have adversarial stances, ie, the selfish actions of each …

Recent studies in multi-agent communicative reinforcement learning (MACRL) have
demonstrated that multi-agent coordination can be greatly improved by allowing …

This paper presents an overview of recent advances in the field of the vehicle routing
problem (VRP), based on papers published in high-quality journals during the period from …

Moving target defense has emerged as a critical paradigm of protecting a vulnerable system
against persistent and stealthy attacks. To protect a system, a defender proactively changes …

The behavior of no-regret learning algorithms is well understood in two-player min-max (ie,
zero-sum) games. In this paper, we investigate the behavior of no-regret learning in min-max …

Game Theory is a common approach used to understand attacker and defender motives,
strategies, and allocation of limited security resources. For example, many defense …

Research on security games has focused on settings where the defender must protect
against either a single adversary or multiple, independent adversaries. However, there are a …

A rich amount of literature is available for solving the problem of finding equilibrium
strategies in two-player security games that harness the power of integer linear …

Public safety is crucial to everyday life. When responding to events of a criminal nature, it is
necessary to consider game theoretic models and strategic behaviors, which is the focus of …