A Neuroevolution Approach to General Atari Game Playing
نویسندگان
چکیده
منابع مشابه
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The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. The most successful GGP agents in the past have used traditional game-tree search combined with an automatically learned heuristic function for evaluating game states. In this paper we describe a GGP agent that instead...
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Verify your progress by letting dierent versions of your program (with and without the improvements) play against each other in a selection of games. Record the results of the comparisons for at least 5 dierent games and send me an email with the results no later than Sunday, Feb 1st 2009 with a short descriptions of the changes between the versions of your program you compared.
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ژورنال
عنوان ژورنال: IEEE Transactions on Computational Intelligence and AI in Games
سال: 2014
ISSN: 1943-068X,1943-0698
DOI: 10.1109/tciaig.2013.2294713