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IJCAI
2007
13 years 9 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
DAC
2005
ACM
14 years 9 months ago
A quasi-convex optimization approach to parameterized model order reduction
In this paper an optimization based model order reduction (MOR) framework is proposed. The method involves setting up a quasiconvex program that explicitly minimizes a relaxation ...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel
SIAMJO
2002
105views more  SIAMJO 2002»
13 years 8 months ago
An Interior-Point Approach to Sensitivity Analysis in Degenerate Linear Programs
We consider the interior-point approach to sensitivity analysis in linear programming developed by the authors. We investigate the quality of the interior-point bounds under degene...
E. Alper Yildirim, Michael J. Todd
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
14 years 1 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
INFOCOM
2011
IEEE
12 years 12 months ago
Secure and practical outsourcing of linear programming in cloud computing
—Cloud Computing has great potential of providing robust computational power to the society at reduced cost. It enables customers with limited computational resources to outsourc...
Cong Wang, Kui Ren, Jia Wang