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 Tesseract, an experimental system that enables the direct control of a computer network that is under a single administrative domain. Tesseract’s design is based on t...
Hong Yan, David A. Maltz, T. S. Eugene Ng, Hemant ...
This paper presents MADeM, a multi-modal agent decision making to provide virtual agents with socially acceptable decisions. We consider multi-modal decisions as those that are ab...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
"There will always (I hope) be print books, but just as the advent of photography changed the role of painting or film changed the role of theater in our culture, electronic ...
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...