Learning in multi-agent systems

In the recent years, multi-agent systems have gained increasing attention. Such systems can be cooperative or competitive. When designing multi-agent systems, designers are generally not able to tell an agent what to do in advance since it is impossible to predict all the situations an agent may exp...

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Bibliographic Details
Main Author:	Chen, Junhwa
Other Authors:	Yang Zhonghua
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	https://hdl.handle.net/10356/3759
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-37592023-07-04T16:42:43Z Learning in multi-agent systems Chen, Junhwa Yang Zhonghua School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In the recent years, multi-agent systems have gained increasing attention. Such systems can be cooperative or competitive. When designing multi-agent systems, designers are generally not able to tell an agent what to do in advance since it is impossible to predict all the situations an agent may experience. Agents have to learn. Although there are standard learning techniques, they need to be customized for a specific application domain. The main objective of this research is to investigate learning techniques available in a multi-agent setting, understand the cooperative and competitive learning, and develop and apply a new learning technique in a multi- agent area. MASTER OF ENGINEERING (EEE) 2008-09-17T09:36:57Z 2008-09-17T09:36:57Z 2005 2005 Thesis Chen, J. (2005). Learning in multi-agent systems. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3759 10.32657/10356/3759 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Chen, Junhwa Learning in multi-agent systems
description	In the recent years, multi-agent systems have gained increasing attention. Such systems can be cooperative or competitive. When designing multi-agent systems, designers are generally not able to tell an agent what to do in advance since it is impossible to predict all the situations an agent may experience. Agents have to learn. Although there are standard learning techniques, they need to be customized for a specific application domain. The main objective of this research is to investigate learning techniques available in a multi-agent setting, understand the cooperative and competitive learning, and develop and apply a new learning technique in a multi- agent area.
author2	Yang Zhonghua
author_facet	Yang Zhonghua Chen, Junhwa
format	Theses and Dissertations
author	Chen, Junhwa
author_sort	Chen, Junhwa
title	Learning in multi-agent systems
title_short	Learning in multi-agent systems
title_full	Learning in multi-agent systems
title_fullStr	Learning in multi-agent systems
title_full_unstemmed	Learning in multi-agent systems
title_sort	learning in multi-agent systems
publishDate	2008
url	https://hdl.handle.net/10356/3759
_version_	1772825771468914688

Learning in multi-agent systems

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