Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
On demand routing protocols provide scalable and costeffective solutions for packet routing in mobile wireless ad hoc networks. The paths generated by these protocols may deviate ...
This document describes a mechanism that enhances Mobile IP protocols to smoothly manage handovers for Mobile Nodes equipped with multiple interfaces and moving across different l...
Nicolas Montavont, Eric Njedjou, Franck Lebeugle, ...
Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...