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SIAMMA
2010
63views more  SIAMMA 2010»
14 years 4 months ago
Sparse Tensor Product Wavelet Approximation of Singular Functions
Abstract. On product domains, sparse-grid approximation yields optimal, dimension-independent convergence rates when the function that is approximated has L2-bounded mixed derivati...
Monique Dauge, Rob Stevenson
EOR
2007
117views more  EOR 2007»
14 years 9 months ago
Simultaneous perturbation stochastic approximation of nonsmooth functions
A simultaneous perturbation stochastic approximation (SPSA) method has been developed in this paper, using the operators of perturbation with the Lipschitz density function. This ...
Vaida Bartkute, Leonidas Sakalauskas
AUSAI
2005
Springer
15 years 3 months 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
COCO
2009
Springer
106views Algorithms» more  COCO 2009»
15 years 4 months ago
Improved Approximation of Linear Threshold Functions
We prove two main results on how arbitrary linear threshold functions f(x) = sign(w · x − θ) over the n-dimensional Boolean hypercube can be approximated by simple threshold f...
Ilias Diakonikolas, Rocco A. Servedio
ICCBR
2005
Springer
15 years 3 months ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller