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» Structure in the Space of Value Functions
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ECAI
2008
Springer
14 years 11 months ago
Reinforcement Learning with the Use of Costly Features
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
Robby Goetschalckx, Scott Sanner, Kurt Driessens
LSSC
2005
Springer
15 years 3 months ago
A Multiscale Discontinuous Galerkin Method
We propose a new class of Discontinuous Galerkin (DG) methods based on variational multiscale ideas. Our approach begins with an additive decomposition of the discontinuous finite...
Pavel B. Bochev, Thomas J. R. Hughes, Guglielmo Sc...
BMCBI
2007
176views more  BMCBI 2007»
14 years 10 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
ITIIS
2010
138views more  ITIIS 2010»
14 years 4 months ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
15 years 4 months ago
Event-based optimization for dispatching policies in material handling systems of general assembly lines
—A material handling (MH) system of a general assembly line dispatching parts from inventory to working buffers could be complicated and costly to operate. Generally it is extrem...
Yanjia Zhao, Qianchuan Zhao, Qing-Shan Jia, Xiaoho...