  Cartesian Genetic Programming (CGP) has previously shown capabilities in
image processing tasks by evolving programs with a function set specialized for
computer vision. A similar approach can be applied to Atari playing. Programs
are evolved using mixed type CGP with a function set suited for matrix
operations, including image processing, but allowing for controller behavior to
emerge. While the programs are relatively small, many controllers are
competitive with state of the art methods for the Atari benchmark set and
require less training time. By evaluating the programs of the best evolved
individuals, simple but effective strategies can be found.
