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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/9786
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| Title: | Controller for TORCS created by imitation |
| Author(s): | Muñoz, Jorge
Gutiérrez, Germán
Sanchis, Araceli |
| Publisher: | IEEE |
| Issued date: | 2009 |
| Citation: | IEEE Symposium on Computational Intelligence and Games, 2009. CIG 2009, pp. 478-485 |
| URI: | http://hdl.handle.net/10016/9786 |
| ISBN: | 978-1-4244-4814-2 |
| DOI: | http://dx.doi.org/10.1109/CIG.2009.5286464 |
| Description: | Proceeding of: IEEE Symposium on Computational Intelligence and Games, 2009. CIG 2009, september 7-10, 2009, Milano, Italy |
| Abstract: | This paper is an initial approach to create a controller for the game TORCS by learning how another controller or humans play the game. We used data obtained from two controllers and from one human player. The first controller is the winner of the WCCI 2008 Simulated Car Racing Competition, and the second one is a hand coded controller that performs a complete lap in all tracks. First, each kind of controller is imitated separately, then a mix of the data is used to create new controllers. The imitation is performed by means of training a feed forward neural network with the data, using the backpropagation algorithm for learning. |
| Sponsor: | This work was supported in part by the University Carlos III of Madrid under grant PIF UC3M01-0809 and by the Ministry of Science and Innovation under project TRA2007- 67374-C02-02. |
| Publisher version: | http://dx.doi.org/10.1109/CIG.2009.5286464 |
| Keywords: | TORCS
WCCI 2008 Simulated Car Racing Competition
Backpropagation algorithm
Feed forward neural network
Game controller
Hand coded controller |
| Rights: | © IEEE |
| Appears in Collections: | DI - CAOS - Capítulos de Monografías
DI - CAOS - Comunicaciones en Congresos y otros eventos
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