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ICML
2007
IEEE
16 years 7 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan
GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 10 months ago
Properties of symmetric fitness functions
The properties of symmetric fitness functions are investigated. We show that a well-known encoding scheme inducing symmetric functions has the non-synonymous property and the sear...
Sung-Soon Choi, Yung-Keun Kwon, Byung Ro Moon
VISUALIZATION
2005
IEEE
15 years 12 months ago
Framework for Visualizing Higher-Order Basis Functions
Techniques in numerical simulation such as the finite element method depend on basis functions for approximating the geometry and variation of the solution over discrete regions ...
William J. Schroeder, François Bertel, Math...
COMPUTING
2006
112views more  COMPUTING 2006»
15 years 6 months ago
Fast Summation of Radial Functions on the Sphere
Radial functions are a powerful tool in many areas of multidimensional approximation, especially when dealing with scattered data. We present a fast approximate algorithm for the ...
Jens Keiner, Stefan Kunis, Daniel Potts
EWC
2006
101views more  EWC 2006»
15 years 6 months ago
Mesh size functions for implicit geometries and PDE-based gradient limiting
Mesh generation and mesh enhancement algorithms often require a mesh size function to specify the desired size of the elements. We present algorithms for automatic generation of a...
Per-Olof Persson