DocumentCode
2453571
Title
Fuzzy Q-learning
Author
Glorennec, Pierre Yves ; Jouffe, Lionel
Author_Institution
Dept. d´´Inf., INSA de Rennes, France
Volume
2
fYear
1997
fDate
1-5 Jul 1997
Firstpage
659
Abstract
This paper proposes an adaptation of Watkins´ Q-learning (1989, 1992) for fuzzy inference systems where both the actions and the Q-functions are inferred from fuzzy rules. This approach is compared with genetic algorithm on the cart-centering problem, showing its effectiveness
Keywords
fuzzy control; fuzzy set theory; inference mechanisms; learning (artificial intelligence); Q-functions; cart-centering problem; fuzzy Q-learning; fuzzy inference systems; genetic algorithm; Equations; Fuzzy control; Fuzzy systems; Genetic algorithms; Learning; Neural networks; Process control; State estimation; State-space methods; Table lookup;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.622790
Filename
622790
Link To Document