In this paper, we propose to use evolution- nary algorithms more specifically the covariance matrix adaptation evolution strategy to design artificial players for the game of Tetris. The learned strategies are among the best performing players at this time scoring several millions of lines. We also describe different mechanisms to reduce the evolution time which can be an important issue for this learning problem
Hex is a two-player adversarial board game in which there is always exactly one winner. Although it ...
International audienceTetris is a video game that has been widely used as a benchmark for various op...
International audienceRecently, a methodology has been proposed for boosting the computational intel...
AbstractThis work is motivated by one of the important characteristics of an intelligent system: the...
International audienceThis article has two purposes: a review on the problem of building a controlle...
Decades of research have been invested in making computer programs for playing games such as Chess a...
This paper describes a new evolutionary algorithm that is especially well suited to AI-Assisted Game...
Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for ...
https://scholarworks.moreheadstate.edu/student_scholarship_posters/1214/thumbnail.jp
Researchers in the field of computer games interest in creating not only strong game-playing program...
Finding optimal strategies for the game of Tetris is an interesting NP-complete problem that has att...
Summarization: Game playing has always been considered an intellectual activity requiring a good lev...
International audienceFor playing the game of Tetris well, training a controller by the cross-entrop...
SZ-Tetris, a restricted version of Tetris, is a dicult rein-forcement learning task. Previous resear...
This procceding at: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 20...
Hex is a two-player adversarial board game in which there is always exactly one winner. Although it ...
International audienceTetris is a video game that has been widely used as a benchmark for various op...
International audienceRecently, a methodology has been proposed for boosting the computational intel...
AbstractThis work is motivated by one of the important characteristics of an intelligent system: the...
International audienceThis article has two purposes: a review on the problem of building a controlle...
Decades of research have been invested in making computer programs for playing games such as Chess a...
This paper describes a new evolutionary algorithm that is especially well suited to AI-Assisted Game...
Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for ...
https://scholarworks.moreheadstate.edu/student_scholarship_posters/1214/thumbnail.jp
Researchers in the field of computer games interest in creating not only strong game-playing program...
Finding optimal strategies for the game of Tetris is an interesting NP-complete problem that has att...
Summarization: Game playing has always been considered an intellectual activity requiring a good lev...
International audienceFor playing the game of Tetris well, training a controller by the cross-entrop...
SZ-Tetris, a restricted version of Tetris, is a dicult rein-forcement learning task. Previous resear...
This procceding at: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 20...
Hex is a two-player adversarial board game in which there is always exactly one winner. Although it ...
International audienceTetris is a video game that has been widely used as a benchmark for various op...
International audienceRecently, a methodology has been proposed for boosting the computational intel...