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 ...
There is a large disparity between the rich physical interfaces of co-located arcade games and the generic input devices seen in most home console systems. In this paper we argue ...
Edward Tse, Saul Greenberg, Chia Shen, Clifton For...
Abstract. We study the problem of generating a test sequence that achieves maximal coverage for a reactive system under test. We formulate the problem as a repeated game between th...
Krishnendu Chatterjee, Luca de Alfaro, Rupak Majum...
Lighting assumes many aesthetic and communicative functions in game environments that affect attention, immersion, visibility, and emotions. Game environments are dynamic and high...
— We present both a game theoretic and a distributed algorithmic approach for the transit price negotiation problem in the interdomain routing framework. We analyze the behavior ...