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GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 11 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
ICIP
2006
IEEE
14 years 11 months ago
Multichannel Autofocus Algorithm for Synthetic Aperture Radar
The autofocus problem in synthetic aperture radar (SAR) is considered, where phase errors in the acquired signal data result in imagery that is improperly focused. We present a ne...
Robert L. Morrison Jr., Minh N. Do
CVPR
2006
IEEE
14 years 11 months ago
Improving Border Localization of Multi-Baseline Stereo Using Border-Cut
This paper presents a novel algorithm that improves the localization of disparity discontinuities of disparity maps obtained by multi-baseline stereo. Rather than associating a di...
Marc-Antoine Drouin, Martin Trudeau, Sébast...
IJCAI
2001
13 years 10 months ago
Symbolic Dynamic Programming for First-Order MDPs
We present a dynamic programming approach for the solution of first-order Markov decisions processes. This technique uses an MDP whose dynamics is represented in a variant of the ...
Craig Boutilier, Raymond Reiter, Bob Price
ICML
1996
IEEE
14 years 1 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos