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Title: Constructing Pin Endgame Databases for the Backgammon Variant Plakoto
Authors: Papachristou, Nikos
Refanidis, Ioannis
Editors: Plaat, Aske
van den Herik, Jaap
Kosters, Walter
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: Endgame Databases
Endgame Positions
Game Theoretical Value
Issue Date: Jul-2015
Publisher: Springer
Volume: 9525
First Page: 177
Last Page: 184
Volume Title: ACG 2015: Advances in Computer Games
Part of Series: Lecture Notes on Computer Science
Part of Series: Lecture Notes on Computer Science
Abstract: Palamedes is an ongoing project for building expert playing bots that can play backgammon variants. Until recently the position evaluation relied only on self-trained neural networks. This paper describes the first attempt to augment Palamedes by constructing databases for certain endgame positions for the backgammon variant of Plakoto. The result is 5 databases containing 12,480,720 records in total; they can calculate accurately the best move for roughly 3.4 × 1015 positions. To the best of our knowledge, this is the first time that an endgame database is created for this game.
Electronic ISBN: 978-3-319-27992-3
Appears in Collections:Department of Applied Informatics

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