InfoMax Bayesian learning of the Furuta pendulum

Jeni, László A. and Flórea, György and Lőrincz, András: InfoMax Bayesian learning of the Furuta pendulum. Acta cybernetica, (18) 4. pp. 637-649. (2008)

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Abstract

We have studied the InfoMax (D-optimality) learning for the two-link Furuta pendulum. We compared InfoMax and random learning methods. The InfoMax learning method won by a large margin, it visited a larger domain and provided better approximation during the same time interval. The advantages and the limitations of the InfoMax solution are treated.

Item Type: Article
Event Title: Symposium of Young Scientists on Intelligent Systems, 2., 2007, Budapest
Journal or Publication Title: Acta cybernetica
Date: 2008
Volume: 18
Number: 4
Page Range: pp. 637-649
ISSN: 0324-721X
Language: angol
Uncontrolled Keywords: Természettudomány, Informatika
Additional Information: Bibliogr.: p. 648-649.; Abstract
Date Deposited: 2016. Oct. 15. 12:25
Last Modified: 2018. Jun. 05. 14:48
URI: http://acta.bibl.u-szeged.hu/id/eprint/12839

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