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abstract: 'This paper describes the evolution of controllers for racing a simulated radio-controlled car around a track, modelled on a real physical track. Five different controller architectures were compared, based on neural networks, force fields and action sequences. The controllers use either egocentric (first person), Newtonian (third person) or no information about the state of the car (open-loop controller). The only controller that is able to evolve good racing behaviour is based on a neural network acting on egocentric inputs.'
altloc:
- http://julian.togelius.com/Togelius2005Evolving.pdf
chapter: ~
commentary: ~
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confdates: September 2005
conference: IEEE Congress on Evolutionary Computation
confloc: 'Edinburgh, UK'
contact_email: ~
creators_id: []
creators_name:
- family: Togelius
given: Julian
honourific: ''
lineage: ''
- family: Lucas
given: Simon M.
honourific: ''
lineage: ''
date: 2005
date_type: published
datestamp: 2006-10-15
department: ~
dir: disk0/00/00/52/18
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eprint_status: archive
eprintid: 5218
fileinfo: /style/images/fileicons/application_pdf.png;/5218/1/Togelius2005Evolving.pdf
full_text_status: public
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keywords: ~
lastmod: 2011-03-11 08:56:39
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metadata_visibility: show
note: Winner of the best student paper award at CEC 2005.
number: ~
pagerange: 1906-1913
pubdom: FALSE
publication: ~
publisher: IEEE Press
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 17:08:04
subjects:
- comp-sci-mach-learn
- comp-sci-neural-nets
- comp-sci-art-intel
succeeds: ~
suggestions: ~
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thesistype: ~
title: Evolving controllers for simulated car racing
type: confpaper
userid: 4535
volume: ~