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AIPS
2006
15 years 3 months ago
Probabilistic Planning with Nonlinear Utility Functions
Researchers often express probabilistic planning problems as Markov decision process models and then maximize the expected total reward. However, it is often rational to maximize ...
Yaxin Liu, Sven Koenig
ESANN
2004
15 years 3 months ago
Functional preprocessing for multilayer perceptrons
In many applications, high dimensional input data can be considered as sampled functions. We show in this paper how to use this prior knowledge to implement functional preprocessin...
Fabrice Rossi, Brieuc Conan-Guez
EUSFLAT
2003
125views Fuzzy Logic» more  EUSFLAT 2003»
15 years 3 months ago
On convex-concave perception based functions
Perception based function (PBF) is given by the set of rules Ri:“If X is Ti then Y is Si”, where Ti is a linguistic term describing some fuzzy intervals Ai on the domain of re...
Ildar Z. Batyrshin, Aleksandra Panova
ATAL
2010
Springer
15 years 3 months ago
Basis function construction for hierarchical reinforcement learning
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
Sarah Osentoski, Sridhar Mahadevan
VLDB
1998
ACM
127views Database» more  VLDB 1998»
15 years 6 months ago
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuz...