Efficient organization of network topology based on reinforcement signals

Chyon Hae Kim; Shigeki Sugano; Tetsuya Ogata

doi:10.1109/IROS.2006.282338

Efficient organization of network topology based on reinforcement signals

Chyon Hae Kim, Shigeki Sugano, Tetsuya Ogata

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IEEE International Conference on Intelligent Robots and Systems
Pages	3154-3159
Number of pages	6
DOIs	https://doi.org/10.1109/IROS.2006.282338
Publication status	Published - 2006
Event	2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing Duration: 2006 Oct 9 → 2006 Oct 15

Other

Other	2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
City	Beijing
Period	06/10/9 → 06/10/15

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ASJC Scopus subject areas

Control and Systems Engineering

Cite this

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

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Access to Document

10.1109/IROS.2006.282338