: 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...
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
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...
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...
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...