Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
The increasing popularity of heterogeneous Webenabled devices and wired/wireless connections motivates the diffusion of content adaptation services that enrich the traditional Web...
−Buffered multistage interconnection networks offer one of the most scalable and cost-effective approaches to building high capacity routers. Unfortunately, the performance of su...
Due to the large number of attacks on open networks, information theft becomes a more and more severe problem. Secure computation can offer highly assured confidentiality protecti...
This paper discusses the impact of the hierarchical master-worker paradigm on performance of an application program, which solves an optimization problem by a parallel branch and ...