FedCSIS 2017
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AAIA'18 Data Mining Challenge is the fifth competition organized within the framework of International Symposium Advances in Artificial Intelligence and Applications (https://fedcsis.org/2018/aaia). This time, the task is to assess win-rates of Hearthstone decks in games played between AI bots. The competition is kindly sponsored by Silver Bullet Labs, eSensei and Polish Information Processing Society (PTI).

Topic outline

  • This year's competition is a continuation of the topic from the previous year - data analytics related to video games. In particular, we focus on a popular collectible card video game Hearthstone: Heroes of Warcraft.

    The purpose of this challenge is to discover reliable algorithms for predicting win-rates of Hearthstone decks. The task for participants is to construct a prediction model that can learn win chances of new decks, based on a history of match-ups between AI bots playing with similar decks. In order to give participants a freedom of choosing a representation of the data, apart from a preprocessed dataset in a tabular format, we provide raw JSON files that describe each game in more details - we are interested whether the data regarding the way in which cards are played during the game can be useful in the proposed task.

    More details regarding the task and a description of the competition data can be found in Task description section.

    Special session at AAIA'18: As in previous years, a special session devoted to the competition will be held at the conference. This year, it is called International Workshop on AI Methods in Data Mining Challenges (DMGATE). We will invite authors of selected reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The publications will be treated as short papers and will be indexed by IEEE Digital Library and Web of Science. The invited teams will be chosen based on their final rank, innovativeness of their approach and quality of the submitted report. We also encourage regular paper submissions to this event, describing new approaches for analyzing data sets published during any of the challenges organized at Knowledge Pit.

    Awards: Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by our sponsors:

    • First Prize: 1000 USD + one free FedCSIS'18 conference registration,
    • Second Prize: 500 USD + one free FedCSIS'18 conference registration,
    • Third Prize: one free FedCSIS'18 conference registration.

    The award ceremony will take place during the FedCSIS'18 conference (Sep 9-12, 2017, Poznań, Poland).

    Schedule:

    • April 3, 2018: start of the competition, training data become available,
    • May 6, 2018 (23:59 GMT): deadline for submitting the predictions,
    • May 7, 2018 (23:59 GMT): deadline for sending the reports, end of the competition,
    • May 15, 2018: online publication of the final results, sending invitations for submitting short papers for the special session at FedCSIS'18,

    Contest Organizing Committee:

    • Andrzej Janusz, University of Warsaw & eSensei
    • Maciek Świechowski, Silver Bullet Labs
    • Tomasz Tajmajer, University of Warsaw & Silver Bullet Labs
    • Łukasz Grad, University of Warsaw & eSensei
    • Jacek Puczniewski, Silver Bullet Labs & eSensei
    • Dominik Ślęzak, University of Warsaw & eSensei

    In case of any questions please post on the competition forum or write an email at janusza {at} mimuw.edu.pl.

    References:

    http://eu.battle.net/hearthstone/en/

    https://en.wikipedia.org/wiki/Hearthstone_(video_game)

    https://hearthsim.info/

    Andrzej JanuszTomasz TajmajerMaciej SwiechowskiHelping AI to Play Hearthstone: AAIA'17 Data Mining Challenge. FedCSIS 2017121-125

  • Challenge information and data

    All terms, regulations and information to be read.
    Below if link to Terms and Conditions. It MUST be read and accepted to continue.
  • Leaderboard

    Here you can follow preliminary results of other participants of the competition. Your best solution will be visible on the Leaderboard. Please note that scores presented here correspond to minus RMSE values.

  • Submissions

    Here is the place where you can upload and manage your solution files. You have to be logged in and enrolled in the competition to be able to submit a solution. The evaluation may take a few minutes so please be patient.