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ATAL
2009
Springer
13 years 5 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
ICASSP
2011
IEEE
12 years 11 months ago
Near-field array shape calibration
In the important domain of array shape calibration, the near-field case poses a challenging problem due to the array response complexity induced by the range effect. In this pape...
Shuang Wan, Pei-Jung Chung, Bernard Mulgrew
ICMLA
2010
13 years 5 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
CDC
2008
IEEE
110views Control Systems» more  CDC 2008»
13 years 9 months ago
Topological identification in networks of dynamical systems
The paper deals with the problem of reconstructing the tree-like topological structure of a network of linear dynamical systems. A distance function is defined in order to evaluat...
Donatello Materassi, Giacomo Innocenti
MANSCI
2008
119views more  MANSCI 2008»
13 years 7 months ago
Service-Level Differentiation in Call Centers with Fully Flexible Servers
We study large-scale service systems with multiple customer classes and many statistically identical servers. The following question is addressed: How many servers are required (s...
Itay Gurvich, Mor Armony, Avishai Mandelbaum