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AUSAI
2005
Springer
16 years 2 days ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
16 years 1 days ago
Evolving visually guided agents in an ambiguous virtual world
The fundamental challenge faced by any visual system within natural environments is the ambiguity caused by the fact that light that falls on the system’s sensors conflates mult...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
MICAI
2005
Springer
16 years 22 hour ago
Modelling Human Intelligence: A Learning Mechanism
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Enrique Carlos Segura, Robin W. Whitty
AUSAI
2004
Springer
15 years 12 months ago
A Dynamic Allocation Method of Basis Functions in Reinforcement Learning
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...
Shingo Iida, Kiyotake Kuwayama, Masayoshi Kanoh, S...
DIAGRAMS
2004
Springer
15 years 12 months ago
A Cognitive Processing Perspective on Student Programmers' 'Graphicacy'
The ‘graphicacy’ of student programmers was investigated using several cognitive tasks designed to assess ER knowledge representation at the perceptual, semantic and output lev...
Richard Cox, Pablo Romero, Benedict du Boulay, Rud...