TY - GEN
T1 - Efficient organization of network topology based on reinforcement signals
AU - Kim, Chyon Hae
AU - Sugano, Shigeki
AU - Ogata, Tetsuya
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34250674781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34250674781&partnerID=8YFLogxK
U2 - 10.1109/IROS.2006.282338
DO - 10.1109/IROS.2006.282338
M3 - Conference contribution
AN - SCOPUS:34250674781
SN - 142440259X
SN - 9781424402595
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 3154
EP - 3159
BT - 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
T2 - 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Y2 - 9 October 2006 through 15 October 2006
ER -