Intelligence Design Of Robotic Soccer Team

Designing the algorithm of an intelligent robotic soccer team is challenging research domain, because the team's performance depends significantly on issues that arise solely from the interaction among agents. Robotic soccer simulation studies from experiments illustrate that the robotic agents...

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Bibliographic Details
Main Author:	Yeoh, Boon Chuan
Format:	Thesis
Published:	2006
Subjects:	TJ210.2-211.47 Mechanical devices and figures Automata Ingenious mechanisms Robots (General)
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id	my-mmu-ep.1189
record_format	uketd_dc
spelling	my-mmu-ep.11892010-08-20T08:34:05Z Intelligence Design Of Robotic Soccer Team 2006-09 Yeoh, Boon Chuan TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) Designing the algorithm of an intelligent robotic soccer team is challenging research domain, because the team's performance depends significantly on issues that arise solely from the interaction among agents. Robotic soccer simulation studies from experiments illustrate that the robotic agents learned policies that significantly out-performed a range of benchmark policies, and the integration of MMQL technique can highly improve the learned policies. 2006-09 Thesis http://shdl.mmu.edu.my/1189/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution	Multimedia University
collection	MMU Institutional Repository
topic	TJ210.2-211.47 Mechanical devices and figures Automata Ingenious mechanisms Robots (General)
spellingShingle	TJ210.2-211.47 Mechanical devices and figures Automata Ingenious mechanisms Robots (General) Yeoh, Boon Chuan Intelligence Design Of Robotic Soccer Team
description	Designing the algorithm of an intelligent robotic soccer team is challenging research domain, because the team's performance depends significantly on issues that arise solely from the interaction among agents. Robotic soccer simulation studies from experiments illustrate that the robotic agents learned policies that significantly out-performed a range of benchmark policies, and the integration of MMQL technique can highly improve the learned policies.
format	Thesis
qualification_level	Master's degree
author	Yeoh, Boon Chuan
author_facet	Yeoh, Boon Chuan
author_sort	Yeoh, Boon Chuan
title	Intelligence Design Of Robotic Soccer Team
title_short	Intelligence Design Of Robotic Soccer Team
title_full	Intelligence Design Of Robotic Soccer Team
title_fullStr	Intelligence Design Of Robotic Soccer Team
title_full_unstemmed	Intelligence Design Of Robotic Soccer Team
title_sort	intelligence design of robotic soccer team
granting_institution	Multimedia University
granting_department	Research Library
publishDate	2006
_version_	1747829312215580672

Intelligence Design Of Robotic Soccer Team

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