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Evolving simple programs for playing atari games

Wilson, Dennis and Cussat-Blanc, Sylvain and Luga, Hervé and Miller, Julian Evolving simple programs for playing atari games. (2018) In: Genetic and Evolutionary Computation COnference (GECCO 2018), 15 July 2018 - 19 July 2018 (Kyoto, Japan).

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Official URL: https://doi.org/10.1145/3205455.3205578


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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:GECCO'18 : Proceedings of the Genetic and Evolutionary Computation Conference 2018 ISBN: 978-1-4503-5618-3 https://dl.acm.org/citation.cfm?id=3205455.3205578
HAL Id:hal-03622977
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > University of York (UNITED KINGDOM)
Laboratory name:
HPC resources CALMIP - ANR-11-LABX-0040-CIMI
Deposited On:23 Apr 2019 14:58

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