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Evolving Driving Controllers using Genetic Programming Marc Ebner and Thorsten Tiede Abstract—Computational gaming requires the automatic generation of virtual opponents for different game levels. We have
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Document Date: 2009-09-25 03:00:15


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TABLE IV S ET OF TERMINAL / Stanford University / /

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control algorithms / car racing competition software / select genetic operator / race car drivers / robot server / gas/brake pedal / car steering gas pedal brake pedal / combat algorithms / car driving program / neural networks / gas pedal / torcs car racing challenge / simulated car racing game / evolutionary algorithm / open source race car simulation / Name gas pedal brake pedal steering / possible solutions / arguments product / car steering gas / virtual car / race car client / race car / control algorithm / car absolute value / car perpendicular / simulated car racing competition / car client / car controllers / neural network / car drifts / real car / car drivers / car steering gas pedal brake / car fuel / car racing controllers / open race car simulator / angle gas/brake pedal / human controlled radio car / /

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Wilhelm Schickard Institut f¨ur Informatik / MIT / Computational Intelligence / Congress / Stanford University / Road/Steering Command / /

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Bernhard Wymann / R. Poli / Thorsten Tiede / Wilhelm Schickard / Morgan Kaufmann / P. J. Angeline / K. E. Kinnear / Jr. / Marc Ebner / I. van Hemert / William B. Langdon / Fig / Christophe Guionneau / Eric Espi / Eberhard Karls Universit / /

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driver / evolved driver / human competitive player / game player / evolved race car driver / manually constructed controller / single controller / comparable controller / manually constructed driver / race car driver / manually crafted race car driver / player / artificial game player / T. D. / virtual driver / proportional controller / steering controller / hand-crafted gas/brake controller / optimized driver / car controller / neural network controller / controller / actual player / /

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Stanford University / /

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evolutionary algorithm / control algorithm / neural network / control algorithms / Java / Evolving combat algorithms / simulation / /

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www.cs.gmu.edu/˜eclab/projects/ecj / /

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