The 2014 General Video Game Playing Competition

Diego Perez-Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas, Adrien Couetoux, Jerry Lee, Chong U. Lim, Tommy Thompson

    Research output: Contribution to journalArticlepeer-review


    This paper presents the framework, rules, games, controllers, and results of the first General Video Game Playing Competition, held at the IEEE Conference on Computational Intelligence and Games in 2014. The competition proposes the challenge of creating controllers for general video game play, where a single agent must be able to play many different games, some of them unknown to the participants at the time of submitting their entries. This test can be seen as an approximation of general artificial intelligence, as the amount of game-dependent heuristics needs to be severely limited. The games employed are stochastic real-time scenarios (where the time budget to provide the next action is measured in milliseconds) with different winning conditions, scoring mechanisms, sprite types, and available actions for the player. It is a responsibility of the agents to discover the mechanics of each game, the requirements to obtain a high score and the requisites to finally achieve victory. This paper describes all controllers submitted to the competition, with an in-depth description of four of them by their authors, including the winner and the runner-up entries of the contest. The paper also analyzes the performance of the different approaches submitted, and finally proposes future tracks for the competition.

    Original languageEnglish (US)
    Article number7038214
    Pages (from-to)229-243
    Number of pages15
    JournalIEEE Transactions on Computational Intelligence and AI in Games
    Issue number3
    StatePublished - Sep 2016


    • Competitions
    • Monte Carlo tree search
    • Real-Time games
    • evolutionary algorithms
    • general video game playing

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Artificial Intelligence
    • Electrical and Electronic Engineering


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