DocumentCode
1840643
Title
Visual control in quake II with a cyclic controller
Author
Parker, Matt ; Bryant, Bobby D.
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Nevada, Reno, NV
fYear
2008
fDate
15-18 Dec. 2008
Firstpage
151
Lastpage
158
Abstract
A cyclic controller is evolved in the first person shooter computer game Quake II, to learn to attack a randomly moving enemy in a simple room by using only visual inputs. The chromosome of a genetic algorithm represents a cyclical controller that reads grayscale information from the gameplay screen to determine how far to jump forward in the program and what actions to perform. The cyclic controller learns to effectively find and shoot the enemy, and outperforms our previously published neural network solution for the same problem.
Keywords
computer games; genetic algorithms; neural nets; spatial variables control; Quake II; computer game; cyclic controller; genetic algorithm; neural network; visual control; Backpropagation; Cameras; Computational modeling; Computer science; Gray-scale; Humans; Navigation; Neural networks; Remotely operated vehicles; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On
Conference_Location
Perth, WA
Print_ISBN
978-1-4244-2973-8
Electronic_ISBN
978-1-4244-2974-5
Type
conf
DOI
10.1109/CIG.2008.5035634
Filename
5035634
Link To Document