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...Show MoreMetadata
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 egocentric (first person), Newtonian (third person) or no information about the state of the car (open-loop controller). The only controller that able to evolve good racing behaviour was based on neural network acting on egocentric inputs.
Published in: 2005 IEEE Congress on Evolutionary Computation
Date of Conference: 02-05 September 2005
Date Added to IEEE Xplore: 12 December 2005
Print ISBN:0-7803-9363-5