title: Evolving controllers for simulated car racing
creator: Togelius, Julian
creator: Lucas, Simon M.
subject: Machine Learning
subject: Neural Nets
subject: Artificial Intelligence
description: 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.
publisher: IEEE Press
date: 2005
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/5218/1/Togelius2005Evolving.pdf
identifier:   Togelius, Julian and Lucas, Simon M.  (2005) Evolving controllers for simulated car racing.  [Conference Paper]     
relation: http://cogprints.org/5218/