Evolving controllers for simulated car racing

Togelius, Julian and Lucas, Simon M. (2005) Evolving controllers for simulated car racing. [Conference Paper]

Full text available as:



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.

Item Type:Conference Paper
Additional Information:Winner of the best student paper award at CEC 2005.
Subjects:Computer Science > Machine Learning
Computer Science > Neural Nets
Computer Science > Artificial Intelligence
ID Code:5218
Deposited By: Togelius, Julian
Deposited On:15 Oct 2006
Last Modified:11 Mar 2011 08:56


Repository Staff Only: item control page