Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Recently, a small number of papers have appeared in which the authors implement stochastic search algorithms, such as evolutionary computation, to generate game content, such as le...
Julian Togelius, Georgios N. Yannakakis, Kenneth O...
— The problem of how to create NPC AI for videogames that believably imitates particular human players is addressed. Previous approaches to learning player behaviour is found to ...
Niels van Hoorn, Julian Togelius, Daan Wierstra, J...
— Bargaining games on exchange networks have been studied by both economists and sociologists. A Balanced Outcome [9], [15] for such a game is an equilibrium concept that combine...
Yossi Azar, Benjamin E. Birnbaum, L. Elisa Celis, ...
Abstract- This paper considers the centralized spectrum allocations in resource-constrained wireless sensor networks with the following goals: (1) allocate spectrum as fairly as po...