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AAMAS
2007
Springer
15 years 6 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
CSDA
2007
134views more  CSDA 2007»
15 years 6 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
FMCAD
2007
Springer
15 years 10 months ago
Combining Symbolic Simulation and Interval Arithmetic for the Verification of AMS Designs
Abstract--Analog and mixed signal (AMS) designs are important integrated circuits that are usually needed at the interface between the electronic system and the real world. Recentl...
Mohamed H. Zaki, Ghiath Al Sammane, Sofiène...
ICDE
1994
IEEE
127views Database» more  ICDE 1994»
15 years 10 months ago
Approximate Analysis of Real-Time Database Systems
During the past few years, several studies have been made on the performance of real-time database systems with respect to the number of transactions that miss their deadlines. Th...
Jayant R. Haritsa
ICASSP
2010
IEEE
15 years 6 months ago
Approximate eigenvalue decomposition of para-Hermitian systems through successive FIR paraunitary transformations
The eigenvalue decomposition (EVD) of a Hermitian matrix in terms of unitary matrices is well known. In this paper, we present an algorithm for the approximate EVD (AEVD) of a par...
Andre Tkacenko