Multiagent learning towards RoboCup

被引：0
|
作者：
Asada, M [1 ]
Uchibe, E [1 ]
机构：
[1] Osaka Univ, Grad Sch Engn, Suita, Osaka 5650871, Japan
来源：
NEW GENERATION COMPUTING | 2001年 / 19卷 / 02期
关键词：
RoboCup; multiagent; reinforcement learning; state vecor estimation; local predictive model;
D O I：
10.1007/BF03037249
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article describes the issues in multiagent learning towards RoboCup,(1 similar to3)) 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.
引用
收藏
页码：103 / 120
页数：18
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