We study settings in which autonomous agents are designed to optimize a given system-
level objective. In typical approaches to this problem, each agent is endowed with a decision …

Submodular maximization problems are a relevant model set for many real-world
applications. Since these problems are generally NP-Hard, many methods have been …

This letter considers the robustness of game-theoretic approaches to distributed submodular
maximization problems, which have been used to model a wide variety of applications such …

The use of game theoretic methods for control in multiagent systems has been an important
topic in recent research. Valid utility games in particular have been used to model real-world …

This paper considers coverage games in which a group of agents are tasked with identifying
the highest-value subset of resources; in this context, game-theoretic approaches are known …

Large-scale autonomous systems are systems comprised of many components, each acting
according to its own preferences, local information and capabilities. Such systems are …

In this paper we introduce an (a, b)-generic valid utility system, a class of non-cooperative
games with n players. The social utility of an outcome is measured by a submodular …

This work considers games in which agents are tasked with optimizing a global objective
function; in this context, game-theoretic approaches are known to yield Nash equilibria …