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ORIGINAL PAPER The 2007 IEEE CEC simulated car racing competition

by Pete Burrow, J. Togelius, S. Lucas, P. Burrow, P. Burrow, H. D. Thang, J. M. Garibaldi, J. M. Garibaldi, T. Nakashima
"... Abstract This paper describes the simulated car racing competition that was ..."
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Abstract This paper describes the simulated car racing competition that was

The 2009 Simulated Car Racing Championship

by Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez, Yago Sáez, Mike Preuss, Jan Quadflieg - IEEE Transactions on Computational Intelligence and AI in Games , 2010
"... sium on Computational Intelligence and Games (CIG). First, we describe the competition regulations and the software framework. Then, the five best teams describe the methods of computational intelligence they used to develop their drivers and the lessons they learned from the participation in the ch ..."
Abstract - Cited by 17 (15 self) - Add to MetaCart
in the championship. The orga-nizers provide short summaries of the other competitors. Finally, we summarize the championship results, followed by a discussion about what the organizers learned about 1) the development of high-performing car racing controllers and 2) the organization of scientific competitions.

Evolving Controllers for Simulated Car Racing

by Julian Togelius And , 2005
"... this paper is what sort of information a control mechanism needs in order to proficiently race a car around a track, and how it should be represented. Along the way we will look at whether different input representations and control mechanisms give rise to qualitatively different driving styles, and ..."
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this paper is what sort of information a control mechanism needs in order to proficiently race a car around a track, and how it should be represented. Along the way we will look at whether different input representations and control mechanisms give rise to qualitatively different driving styles

The WCCI 2008 Simulated Car Racing Competition

by Daniele Loiacono, Julian Togelius, Pier Luca Lanzi, Leonard Kinnaird-heether, Simon M. Lucas, Matt Simmerson, Diego Perez, Robert G. Reynolds, Yago Saez
"... Abstract — This paper describes the simulated car racing competition held in association with the IEEE WCCI 2008 conference. The organization of the competition is described, along with the rules, the software used, and the submitted car racing controllers. The results of the competition are present ..."
Abstract - Cited by 18 (8 self) - Add to MetaCart
Abstract — This paper describes the simulated car racing competition held in association with the IEEE WCCI 2008 conference. The organization of the competition is described, along with the rules, the software used, and the submitted car racing controllers. The results of the competition

A novel fuzzy inferencing methodology for simulated car racing

by Duc Thang Ho, Jonathan M. Garibaldi - In To be Published in the Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE , 2008
"... Abstract—This paper describes and further extends the fuzzy inferencing system which won the simulated car racing compe-tition that was arranged as part of FuzzIEEE 2007 conference. The details of the winning non-stationary fuzzy controller and its results are presented. A novel approach to further ..."
Abstract - Cited by 3 (3 self) - Add to MetaCart
Abstract—This paper describes and further extends the fuzzy inferencing system which won the simulated car racing compe-tition that was arranged as part of FuzzIEEE 2007 conference. The details of the winning non-stationary fuzzy controller and its results are presented. A novel approach to further

Evolving controllers for simulated car racing using object oriented genetic programming

by Alexandros Agapitos, Colchester Co Sq, Julian Togelius, Colchester Co Sq, Simon M. Lucas - in Proceedings of the Genetic and Evolutionay Computation Conference , 2007
"... Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller representations are based either on Neural Networks or Genetic Programming, and also differ in regards to whether they allow fo ..."
Abstract - Cited by 5 (1 self) - Add to MetaCart
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller representations are based either on Neural Networks or Genetic Programming, and also differ in regards to whether they allow

Genet Program Evolvable Mach DOI 10.1007/s10710-008-9063-0 ORIGINAL PAPER The 2007 IEEE CEC simulated car racing competition

by Pete Burrow, J. Togelius, S. Lucas, P. Burrow, P. Burrow, H. D. Thang, J. M. Garibaldi, J. M. Garibaldi, T. Nakashima , 2007
"... Abstract This paper describes the simulated car racing competition that was ..."
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Abstract This paper describes the simulated car racing competition that was

A human-like TORCS controller for the Simulated Car Racing Championship

by Jorge Muñoz, German Gutierrez, Araceli Sanchis
"... Abstract — This paper presents a controller for the 2010 Simulated Car Racing Championship. The idea is not to create the fastest controller but a human-like controller. In order to achieve this, first we have created a process to build a model of the tracks while the car is running and then we used ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
Abstract — This paper presents a controller for the 2010 Simulated Car Racing Championship. The idea is not to create the fastest controller but a human-like controller. In order to achieve this, first we have created a process to build a model of the tracks while the car is running and then we

Computing with Actions: The case of driving a car in a simulated car race

by Sergio Guadarrama - EUSFLAT'09 , 2009
"... Abstract — Describing and modeling a complex system is very hard and time consuming, so, we propose to use a linguistic approach introduced by Zadeh. By taking a linguistic approach we can use linguistic variables and approximate rules to characterize approximately phenomenons which are too complex ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
and tackle a complex and decomposable problem. We use the Fuzzy-IEEE 2007 Car Racing Competition as an example of a problem that allows to show the benefits of our approach. In the example presented the results obtained are better and the flexibility is increased with respect to previous works.

Multiobjective techniques for the use of state in genetic programming applied to simulated car racing

by Alexandros Agapitos - In Proceedings of the IEEE Congress on Evolutionary Computation (CEC , 2007
"... Abstract — Multi-objective optimisation is applied to encourage the effective use of state variables in car controlling programs evolved using Genetic Programming. Three different metrics for evaluating the use of state within a program are introduced. Comparisons are performed among multi- and sing ..."
Abstract - Cited by 4 (3 self) - Add to MetaCart
Abstract — Multi-objective optimisation is applied to encourage the effective use of state variables in car controlling programs evolved using Genetic Programming. Three different metrics for evaluating the use of state within a program are introduced. Comparisons are performed among multi
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