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GECCO
2007
Springer
139views Optimization» more  GECCO 2007»
15 years 9 months ago
The role of speciation in spatial coevolutionary function approximation
The role of space is more and more accepted as a way to dramatically improve the success of coevolutionary function approximation. The process behind this success however is not y...
Folkert de Boer, Paulien Hogeweg
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 8 months ago
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
Evan Kirshenbaum, Henri Jacques Suermondt
AAMAS
2007
Springer
15 years 3 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
CSDA
2010
132views more  CSDA 2010»
15 years 3 months ago
Approximate low-rank factorization with structured factors
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in micro...
Ivan Markovsky, Mahesan Niranjan
WADS
2007
Springer
165views Algorithms» more  WADS 2007»
15 years 9 months ago
A Near Linear Time Approximation Scheme for Steiner Tree Among Obstacles in the Plane
We present a polynomial-time approximation scheme (PTAS) for the Steiner tree problem with polygonal obstacles in the plane with running time O(n log2 n), where n denotes the numb...
Matthias Müller-Hannemann, Siamak Tazari