Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
The efficient execution of integration processes between distributed, heterogeneous data sources and applications is a challenging research area of data management. These inn proc...
In this paper, we propose an efficient technique for run-time application mapping onto Network-on-Chip (NoC) platforms with multiple voltage levels. Our technique consists of a re...
Using traditional software profiling to optimize embedded software in an MPSoC design is not reliable. With multiple processors running concurrently and programs interacting, trad...