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Seminar of

Simon Viennot

15 December 2014

The Role of Knowledge Extraction in Computer Go

The Role of Knowledge Extraction in Computer Go :

The level of programs for the game of Go has been continuously increasing these last 10 years, reaching now a strong amateur level. First, we present a review of current Go programs and competitions. Then, we describe the methods used in top Go programs,with an emphasis on the role of knowledge extraction and how it is combined with Monte-Carlo Tree Search. Knowledge is considered here asall the information that can be acquired about the game, either offline with machine learning on professional game records, or online,from the Monte-Carlo simulations. With examples from our Go program Nomitan, we show how knowledge extraction is a key factor in thestrength of programs. Finally, we detail some of the problems that still need to be solved in order to reach professional strength.

Horaire et lieu : Lundi 15 Décembre 2014, 17h00 en Salle 211 (LIFL)

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