On the dynamics of small continuous-time recurrent neural networks
Adaptive Behavior - Special issue on computational neuroethology
Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Reinforcement Learning
Efficient evolution of neural networks through complexification
Efficient evolution of neural networks through complexification
Physics for Game Developers
Nonlinear dynamics modelling for controller evolution
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Competitive coevolution through evolutionary complexification
Journal of Artificial Intelligence Research
Introducing a Perl genetic programming system - and can meta-evolution solve the bloat problem?
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Efficient non-linear control through neuroevolution
ECML'06 Proceedings of the 17th European conference on Machine Learning
Evolving competitive car controllers for racing games with neuroevolution
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A modular parametric architecture for the TORCS racing engine
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Evolving a fuzzy controller for a car racing competition
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Neuroevolution with manifold learning for playing Mario
International Journal of Bio-Inspired Computation
Learning, evolution and adaptation in racing games
Proceedings of the 9th conference on Computing Frontiers
An evolutionary tuned driving system for virtual car racing games: The AUTOPIA driver
International Journal of Intelligent Systems
Hi-index | 0.00 |
This paper describes the simulated car racing competition that was arranged as part of the 2007 IEEE Congress on Evolutionary Computation. Both the game that was used as the domain for the competition, the controllers submitted as entries to the competition and its results are presented. With this paper, we hope to provide some insight into the efficacy of various computational intelligence methods on a well-defined game task, as well as an example of one way of running a competition. In the process, we provide a set of reference results for those who wish to use the simplerace game to benchmark their own algorithms. The paper is co-authored by the organizers and participants of the competition.