The Cooperative Reinforcement Learning in a Multi-Agent Design System

被引：0
|
作者：
Liu, Hong [1 ]
Wang, Jihua [1 ]
机构：
[1] Shandong Normal Univ, Shandong Prov Key Lab Distributed Comp Software N, Sch Informat Sci & Engn, Jinan, Peoples R China
来源：
PROCEEDINGS OF THE 2013 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD) | 2013年
关键词：
cooperative design; multi-agent system; niche technology; reinforcement learning;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents a multi-agent cooperative reinforcement learning approach in cooperative design system. For effectively speed up the learning process, this approach adopts dynamic niche technology grouping design agents, and selects the optimal design agent in every groups. The selected agents make reinforcement learning via interaction with designers and carry on cooperative learning each other, and then spread the learned knowledge in respective groups. The radius of the niches and selected design agents are dynamically adjusted during cooperative reinforcement learning process.
引用
收藏
页码：139 / 144
页数：6
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