Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
This paper introduces MadeleineII, a new adaptive and portable multi-protocol implementation of the Madeleine communication library. MadeleineII has the ability to control multipl...
In a packet switching based scenario, optical technologies can not completely overcome the problem of insufficient network capacity, due to limitations produced by the presence of ...
Adaptive scientific simulations require that periodic repartitioning occur dynamically throughout the course of the computation. The repartitionings should be computed so as to mi...
This paper presents an architecture for generating a high-speed data pattern with precise edge placement resolution by using the matched delay technique. The technique involves ...
Gary C. Moyer, Mark Clements, Wentai Liu, Toby Sch...