Evolving Agents for the Hanabi 2018 CIG Competition

Rodrigo Canaan, Haotian Shen, Ruben Torrado, Julian Togelius, Andy Nealen, Stefan Menzel

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Hanabi is a cooperative card game with hidden information that has won important awards in the industry and received some recent academic attention. A two-track competition of agents for the game will take place in the 2018 CIG conference. In this paper, we develop a genetic algorithm that builds rule-based agents by determining the best sequence of rules from a fixed rule set to use as strategy. In three separate experiments, we remove human assumptions regarding the ordering of rules, add new, more expressive rules to the rule set and independently evolve agents specialized at specific game sizes. As result, we achieve scores superior to previously published research for the mirror and mixed evaluation of agents.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 2018 IEEE Conference on Computational Intelligence and Games, CIG 2018
    PublisherIEEE Computer Society
    ISBN (Electronic)9781538643594
    StatePublished - Oct 11 2018
    Event14th IEEE Conference on Computational Intelligence and Games, CIG 2018 - Maastricht, Netherlands
    Duration: Aug 14 2018Aug 17 2018

    Publication series

    NameIEEE Conference on Computatonal Intelligence and Games, CIG
    ISSN (Print)2325-4270
    ISSN (Electronic)2325-4289


    Other14th IEEE Conference on Computational Intelligence and Games, CIG 2018


    • Artificial intelligence
    • Evolutionary computation
    • Games

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction
    • Software


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