Evolving simple programs for playing Atari games
Neural and Evolutionary Computing
2018-06-18 v1 Artificial Intelligence
Abstract
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.
Cite
@article{arxiv.1806.05695,
title = {Evolving simple programs for playing Atari games},
author = {Dennis G Wilson and Sylvain Cussat-Blanc and Hervé Luga and Julian F Miller},
journal= {arXiv preprint arXiv:1806.05695},
year = {2018}
}