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149
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ICML
1996
IEEE
15 years 7 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
137
Voted
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 6 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
ICDM
2003
IEEE
95views Data Mining» more  ICDM 2003»
15 years 8 months ago
Evolutionary Gabor Filter Optimization with Application to Vehicle Detection
Abstract—Despite the considerable amount of research work on the application of Gabor filters in pattern classification, their design and selection have been mostly done on a t...
Zehang Sun, George Bebis, Ronald Miller
TEC
2010
112views more  TEC 2010»
14 years 10 months ago
Population-Based Algorithm Portfolios for Numerical Optimization
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
119
Voted
CEC
2007
IEEE
15 years 9 months ago
Memetic algorithms for inexact graph matching
—The noise-robust matching of two graphs is a hard combinatorial problem with practical importance in several domains. In practical applications, a unique solution for a given in...
Thomas Bärecke, Marcin Detyniecki