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The 2016 Two-Player GVGAI Competition

Gaina, RD and Couetoux, A and Soemers, D and Winands, MHM and Vodopivec, T and Kirchgebner, F and Liu, J and Lucas, SM and Perez Liebana, D (2017) 'The 2016 Two-Player GVGAI Competition.' IEEE Transactions on Computational Intelligence and AI in Games. ISSN 1943-0698

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Abstract

This paper showcases the setting and results of the first Two-Player General Video Game AI competition, which ran in 2016 at the IEEE World Congress on Computational Intelligence and the IEEE Conference on Computational Intelligence and Games. The challenges for the general game AI agents are expanded in this track from the single-player version, looking at direct player interaction in both competitive and cooperative environments of various types and degrees of difficulty. The focus is on the agents not only handling multiple problems, but also having to account for another intelligent entity in the game, who is expected to work towards their own goals (winning the game). This other player will possibly interact with first agent in a more engaging way than the environment or any non-playing character may do. The top competition entries are analyzed in detail and the performance of all agents is compared across the four sets of games. The results validate the competition system in assessing generality, as well as showing Monte Carlo Tree Search continuing to dominate by winning the overall Championship. However, this approach is closely followed by Rolling Horizon Evolutionary Algorithms, employed by the winner of the second leg of the contest.

Item Type: Article
Uncontrolled Keywords: General Video Game Playing, Multi-Player Games, Real-Time Games, Monte Carlo Tree Search, Rolling Horizon Evolutionary Algorithms, Competitions
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 28 Nov 2017 14:58
Last Modified: 28 Nov 2017 15:15
URI: http://repository.essex.ac.uk/id/eprint/20744

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