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 ...
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
— In future networks based on the Differentiated Services (DiffServ) architecture, users may be provided with the opportunity to choose their Assured Forwarding (AF) class. Users...
Abstract—Wireless sensor networks are evolving from singleapplication platforms towards an integrated infrastructure shared by multiple applications. Given the resource constrain...
ional Predicate Abstraction from Game Semantics Adam Bakewell and Dan R. Ghica University of Birmingham, U.K. We introduce a technique for using conventional predicate abstraction ...