Jeni László A. and Flórea György and Lőrincz András: InfoMax Bayesian learning of the Furuta pendulum. In: 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 |
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Journal or Publication Title: | Acta cybernetica |
Date: | 2008 |
Volume: | 18 |
Number: | 4 |
ISSN: | 0324-721X |
Page Range: | pp. 637-649 |
Language: | English |
Place of Publication: | Szeged |
Event Title: | Symposium of Young Scientists on Intelligent Systems (2.) (2007) (Budapest) |
Related URLs: | http://acta.bibl.u-szeged.hu/38526/ |
Uncontrolled Keywords: | Számítástechnika, Kibernetika |
Additional Information: | Bibliogr.: p. 648-649. ; összefoglalás angol nyelven |
Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences |
Date Deposited: | 2016. Oct. 15. 12:25 |
Last Modified: | 2022. Jun. 16. 15:02 |
URI: | http://acta.bibl.u-szeged.hu/id/eprint/12839 |
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