Efficient organization of network topology based on reinforcement signals

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We developed a learning system for autonomous robots that allows for autonomous exploration of the effective output, and has simple external parameters and a low calculation cost. We propose the concept of self-organizing network elements (SONE) for creating learning systems with these characteristics. We created and evaluated a self-organizing logic circuit by using this concept. Our results indicated this learning system had the characteristics.

Original languageEnglish
Title of host publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Pages3154-3159
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
Duration: 2006 Oct 92006 Oct 15

Publication series

NameIEEE International Conference on Intelligent Robots and Systems

Conference

Conference2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
CountryChina
CityBeijing
Period06/10/906/10/15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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  • Cite this

    Kim, C. H., Sugano, S., & Ogata, T. (2006). Efficient organization of network topology based on reinforcement signals. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 (pp. 3154-3159). [4058881] (IEEE International Conference on Intelligent Robots and Systems). https://doi.org/10.1109/IROS.2006.282338