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ICML
1996
IEEE
14 years 7 months ago
Learning Evaluation Functions for Large Acyclic Domains
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...
Justin A. Boyan, Andrew W. Moore
VTC
2008
IEEE
218views Communications» more  VTC 2008»
14 years 16 days ago
Performance Analysis of a System using Coordinate Interleaving and Constellation Rotation in Rayleigh Fading Channels
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...
RTAS
2005
IEEE
13 years 11 months ago
Bounding Worst-Case Data Cache Behavior by Analytically Deriving Cache Reference Patterns
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...
Harini Ramaprasad, Frank Mueller
OPODIS
2003
13 years 7 months ago
Multiple Agents RendezVous in a Ring in Spite of a Black Hole
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,...
SIAMSC
2011
142views more  SIAMSC 2011»
13 years 1 months ago
Efficiency Based Adaptive Local Refinement for First-Order System Least-Squares Formulations
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...