Inlämning av Examensarbete / Submission of Thesis

Markus Bergkvist; Tobias Olandersson MSE-2003:19, pp. 26. Inst. för programvaruteknik och datavetenskap/Dept. of Software Engineering and Computer Science, 2003.

The work

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Författare / Author:	Markus Bergkvist, Tobias Olandersson mikael.svahnberg@bth.se
Titel / Title:	Machine learning in simulated RoboCup
Översatt titel / Translated title:	Maskininlärning i den simulerade RoboCup ligan
Abstrakt Abstract:	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.
Ämnesord / Subject:	Datavetenskap - Computer Science\Artificial Intelligence Datavetenskap - Computer Science\Distributed Computing Datavetenskap - Computer Science\General
Nyckelord / Keywords:	Self-learning, Parameter optimization, Simulated RoboCup, Multi- Agent system, Electric Field Approach

Publication info

Dokument id / Document id:
Program:/ Programme	Programvaruteknik/Software Engineering
Registreringsdatum / Date of registration:	09/16/2004
Uppsatstyp / Type of thesis:	D-Uppsats/Magister/Master

Context

Handledare / Supervisor:	Stefan Johansson stefan.johansson@bth.se
Examinator / Examiner:	Mikael Svahnberg
Organisation / Organisation:	Blekinge Institute of Technology
Sektion / School:	Inst. för programvaruteknik och datavetenskap/Dept. of Software Engineering and Computer Science Inst. för Programvaruteknik och Datavetenskap S-372 25 Ronneby +46 455 38 50 00 http://www.ipd.bth.se/

Files & Access

Bifogad uppsats fil(er) / Files attached:	machine learning in simulated robocup.pdf (365 kB, öppnas i nytt fönster)