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ML
2002
ACM
168views Machine Learning» more  ML 2002»
13 years 7 months ago
On Average Versus Discounted Reward Temporal-Difference Learning
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
John N. Tsitsiklis, Benjamin Van Roy
TIP
2008
126views more  TIP 2008»
13 years 7 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 25 days ago
Are Multiple Runs of Genetic Algorithms Better than One?
Abstract. There are conflicting reports over whether multiple independent runs of genetic algorithms (GAs) with small populations can reach solutions of higher quality or can fin...
Erick Cantú-Paz, David E. Goldberg
INFOCOM
2012
IEEE
11 years 10 months ago
Fair background data transfers of minimal delay impact
—In this paper we present a methodology for the design of congestion control protocols for background data transfers that have a minimal delay impact on short TCP transfers and c...
Costas Courcoubetis, Antonis Dimakis
MASCOTS
2004
13 years 9 months ago
A Computational Complexity-Aware Model for Performance Analysis of Software Servers
Queueing models are routinely used to analyze the performance of software systems. However, contrary to common assumptions, the time that a software server takes to complete jobs ...
Vipul Mathur, Varsha Apte