We study the survivable version of the game theoretic network formation model known as the Connection Game, originally introduced in [5]. In this model, players attempt to connect ...
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 ...
We present a new multiagent learning algorithm, RVσ(t), that builds on an earlier version, ReDVaLeR . ReDVaLeR could guarantee (a) convergence to best response against stationary ...
Cognitive radio gives users the ability to switch channels and make use of dynamic spectral opportunities. However, switching channels takes time, and may disrupt the quality of a...
Abstract In this paper we present an evolutionary variational inequality model of vaccination strategies games in a population with a known vaccine coverage profile over a certain ...