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MP
2011
13 years 4 months ago
A first-order interior-point method for linearly constrained smooth optimization
Abstract: We propose a first-order interior-point method for linearly constrained smooth optimization that unifies and extends first-order affine-scaling method and replicator d...
Paul Tseng, Immanuel M. Bomze, Werner Schachinger
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
14 years 1 months ago
Reconsidering the progress rate theory for evolution strategies in finite dimensions
This paper investigates the limits of the predictions based on the classical progress rate theory for Evolution Strategies. We explain on the sphere function why positive progress...
Anne Auger, Nikolaus Hansen
TSP
2012
12 years 5 months ago
On the Rate Gap Between Multi- and Single-Cell Processing Under Opportunistic Scheduling
—Base station (BS) coordination is a key technique to handle intercell interference (ICI) in cellular networks. Nevertheless, recent work on scheduling indicates that the value o...
Hans Jørgen Bang, David Gesbert, Pål ...
COLT
2001
Springer
14 years 2 months ago
Learning Rates for Q-Learning
In this paper we derive convergence rates for Q-learning. We show an interesting relationship between the convergence rate and the learning rate used in Q-learning. For a polynomi...
Eyal Even-Dar, Yishay Mansour
MOC
2000
77views more  MOC 2000»
13 years 9 months ago
Ultraconvergence of the patch recovery technique II
The ultraconvergence property of a gradient recovery technique proposed by Zienkiewicz and Zhu is analyzed for the Laplace equation in the two dimensional setting. Under the assump...
Zhimin Zhang