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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.


Matt Parker and Bobby D. Bryant (2008).
Visual Control in Quake II with a Cyclic Controller.
''Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games (CIG'08)'', pp. 151-158. Piscataway, NJ: IEEE Press. 

* Self-archived [http://nebl.cse.unr.edu/archive/papers/parker-2008-cig.pdf PDF]

* Download the [[Software:Quake2AI|software]].

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