Static optimization of networks by pricing has attracted significant attention over the last decade. These studies assumed concave utility functions for users and derived optimal...
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
Abstract. We consider two-person zero-sum stochastic mean payoff games with perfect information, or BWR-games, given by a digraph G = (V = VB VW VR, E), with local rewards r : E R...
Endre Boros, Khaled M. Elbassioni, Vladimir Gurvic...
We study the contention/interaction among wireless nodes and med -ium access control design in game theory framework. We define a general class of games, called random access game...
Tennenholtz (GEB 2004) developed Program Equilibrium to model play in a finite twoplayer game where each player can base their strategy on the other player’s strategies. Tennen...