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» Function Optimization with Coevolutionary Algorithms
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NIPS
2008
15 years 3 months ago
Regularized Policy Iteration
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
GECCO
2003
Springer
201views Optimization» more  GECCO 2003»
15 years 7 months ago
Solving Mastermind Using Genetic Algorithms
The MasterMind game involves decoding a secret code. The classic game is a code of six possible colors in four slots. The game has been analyzed and optimal strategies have been po...
Tom Kalisker, Doug Camens
3DIM
2007
IEEE
15 years 8 months ago
Outlier Robust ICP for Minimizing Fractional RMSD
We describe a variation of the iterative closest point (ICP) algorithm for aligning two point sets under a set of transformations. Our algorithm is superior to previous algorithms...
Jeff M. Phillips, Ran Liu, Carlo Tomasi
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 5 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack
SAINT
2003
IEEE
15 years 7 months ago
A Generalized Target-Driven Cache Replacement Policy for Mobile Environments
Caching frequently accessed data items on the client side is an effective technique to improve the system performance in wireless networks. Due to cache size limitations, cache re...
Liangzhong Yin, Guohong Cao, Ying Cai