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An Multiagent Reinforcement Learning Based on Partition and Integration(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2008年04期
Page:
59-62
Research Field:
Publishing date:

Info

Title:
An Multiagent Reinforcement Learning Based on Partition and Integration
Author(s):
Wang Yun; Han Wei
Information Science and Engineering College,Nanjing University of Financial and Economics,Nanjing 210046,China
Keywords:
mu ltiagent system;  re inforcem ent learn ing;  state- space partition
PACS:
TP301
DOI:
-
Abstract:
To counte r for the prob lem of slow ly convergence of Q leaning w hen com e ing to large state-space, the paper pu ts forw ard an a lgo rithm w hich divide the sta tes space acco rd ing to learn ing e rrors. The basic idea o f our algor ithm is to d iscover the m atch ing re lationship be tw een ag ents and the sub- space o f sta tes space. The sim ulations in g rids w ith b locks ind icate that the algorithm perform s betterw hen com e ing to on- line learning.

References:

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Last Update: 2013-04-24