Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Abstract— Diversity can play an important role in the performance improvement of a communication system in fading channels. The achievable performance with signal space diversity...
Nauman F. Kiyani, Jos H. Weber, Alenka G. Zajic, G...
While caches have become invaluable for higher-end architectures due to their ability to hide, in part, the gap between processor speed and memory access times, caches (and partic...
The Rendezvous of anonymous mobile agents in a anonymous network is an intensively studied problem; it calls for k anonymous, mobile agents to gather in the same site. We study thi...
Stefan Dobrev, Paola Flocchini, Giuseppe Prencipe,...
Abstract. In this paper, we propose new adaptive local refinement (ALR) strategies for firstorder system least-squares (FOSLS) finite element in conjunction with algebraic multi...
J. H. Adler, Thomas A. Manteuffel, Stephen F. McCo...