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» On Variations of Power Iteration
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ML
2008
ACM
152views Machine Learning» more  ML 2008»
13 years 10 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
ICASSP
2011
IEEE
13 years 2 months ago
Fixed point iteration for max-min sir balancing with general interference functions
This paper studies the convergence of a fixed point iteration algorithm for the problem of max-min signal-to-interference ratio (SIR) balancing. Differently from the existing wor...
Nikola Vucic, Martin Schubert
ESA
2009
Springer
109views Algorithms» more  ESA 2009»
14 years 4 months ago
Iterative Rounding for Multi-Objective Optimization Problems
In this paper we show that iterative rounding is a powerful and flexible tool in the design of approximation algorithms for multiobjective optimization problems. We illustrate tha...
Fabrizio Grandoni, R. Ravi, Mohit Singh
GLOBECOM
2008
IEEE
14 years 4 months ago
A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels
— In this paper, we propose a low-complexity iterative joint channel estimation, detection and decoding technique for doubly selective channels. The key is a segment-by-segment f...
Qinghua Guo, Ping Li
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 8 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes