Once some stable solutions appear to be found at physical and network layers for cooperative Intelligent Transportation Systems (ITS), deploying vehicular services and managing the...
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Abstract. Agent-based systems that are composed of simple locally interacting agents but which demonstrate complex group behavior o er several advantages over traditional multi-age...