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Machine learning in simulated RoboCup
Blekinge Institute of Technology, Department of Software Engineering and Computer Science.
Blekinge Institute of Technology, Department of Software Engineering and Computer Science.
2003 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesisAlternative title
Maskininlärning i den simulerade RoboCup ligan (Swedish)
Abstract [en]

An implementation of the Electric Field Approach applied to the simulated RoboCup is presented, together with a demonstration of a learning system. Results are presented from the optimization of the Electric Field parameters in a limited situation, using the learning system. Learning techniques used in contemporary RoboCup research are also described including a brief presentation of their results.

Place, publisher, year, edition, pages
2003. , 26 p.
Keyword [en]
Self-learning, Parameter optimization, Simulated RoboCup, Multi- Agent system, Electric Field Approach
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-3827Local ID: oai:bth.se:arkivexC460D540CB9D6635C1256D4F00788325OAI: oai:DiVA.org:bth-3827DiVA: diva2:831140
Uppsok
Technology
Supervisors
Available from: 2015-04-22 Created: 2003-06-24 Last updated: 2015-06-30Bibliographically approved

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fulltext(357 kB)217 downloads
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Computer Science

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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