Publication:
Controller for TORCS created by imitation

Loading...
Thumbnail Image
Identifiers
Publication date
2009
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
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.
Description
Proceeding of: IEEE Symposium on Computational Intelligence and Games, 2009. CIG 2009, september 7-10, 2009, Milano, Italy
Keywords
TORCS, WCCI 2008 Simulated Car Racing Competition, Backpropagation algorithm, Feed forward neural network, Game controller, Hand coded controller
Bibliographic citation
IEEE Symposium on Computational Intelligence and Games, 2009. CIG 2009, pp. 478-485