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PRICAI
2000
Springer
13 years 11 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
EAAI
2006
161views more  EAAI 2006»
13 years 7 months ago
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
Dongrui Wu, Woei Wan Tan
JMLR
2010
126views more  JMLR 2010»
13 years 2 months ago
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
We propose a novel application of the Simultaneous Orthogonal Matching Pursuit (SOMP) procedure to perform variable selection in ultra-high dimensional multiple output regression ...
Mladen Kolar, Eric P. Xing
ICONFERENCE
2011
12 years 11 months ago
Modeling diverse standpoints in text classification: learning to be human by modeling human values
An annotator’s classification of a text not only tells us something about the intent of the text’s author, it also tells us something about the annotator’s standpoint. To un...
Kenneth R. Fleischmann, Thomas Clay Templeton, Jor...
JUCS
2008
281views more  JUCS 2008»
13 years 7 months ago
Creating Adaptive e-Learning Board Games for School Settings Using the ELG Environment
: The use of digital games in education is well documented in the literature. They have been used in preschool, K-12, the university. A specific type of digital games is board game...
Symeon Retalis