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

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
Institution / 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)