Cooperative reinforcement learning in topology-based multi-agent systems

Cooperative reinforcement learning in topology-based multi-agent systems

Topology-based multi-agent systems (TMAS), wherein agents interact with one another according to their spatial relationship in a network, are well suited for problems with topological constraints. In a TMAS system, however, each agent may have a different state space, which can be rather large. Cons...

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Bibliographic Details
Main Authors:	XIAO, Dan, TAN, Ah-hwee
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2011
Subjects:	Topology-based multi-agent systems Cooperative learning Reinforcement learning Binary tree formation Policy sharing Databases and Information Systems Programming Languages and Compilers Software Engineering
Online Access:	https://ink.library.smu.edu.sg/sis_research/5242 https://ink.library.smu.edu.sg/context/sis_research/article/6245/viewcontent/Xiao_Tan2013_Article_CooperativeReinforcementLearni.pdf
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Institution:	Singapore Management University
Language:	English

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