New Generation Computing, 19(2001)103-120
Ohmsha, Ltd. and Springer-Verlag

Multiagent Learning towards RoboCup

Minoru ASADA and Eiji UCHIBE
Adaptive Machine Systems, Graduate School of Engineering,
Osaka University, Suita, Osaka 565-0871, Japan
{asada,uchida}@er.ams.eng.osaka-u.ac.jp

Received 20 September 2000
Revised manuscript received 16 November 2000

Abstract

This article describes the issues in multiagent learning towards RoboCup, especially for the real robot leagues. First, the review of the issue in the context of the related area is given, then related works from several viewpoints are reviewed. Next, our approach towards RoboCup Initiative is introduced and finally future issues are given.

Keywords: RoboCup, Multiagent, Reinforcement Learning, State Vecor Estimation, Local Predictive Model.

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