A Principled Method for Exploiting Opening Books - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

A Principled Method for Exploiting Opening Books

Résumé

We used in the past a lot of computational power and human expertise for having a very big dataset of good 9x9 Go games, in order to build an opening book. We improved a lot the algorithm used for gen- erating these games. Unfortunately, the results were not very robust, as (i) opening books are definitely not transitive, making the non-regression testing extremely difficult and (ii) different time settings lead to opposite conclusions, because a good opening for a game with 10s per move on a single core is very different from a good opening for a game with 30s per move on a 32-cores machine (iii) some very bad moves sometimes occur. In this paper, we formalize the optimization of an opening book as a matrix game, compute the Nash equilibrium, and conclude that a naturally randomized opening book provides optimal performance (in the sense of Nash equilibria); surprisingly, from a finite set of opening books, we can choose a distribution on these opening books so that this random solution has a significantly better performance than each of the deterministic opening book.
Fichier principal
Vignette du fichier
exploitingOB.pdf (129.29 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00484043 , version 1 (17-05-2010)

Identifiants

  • HAL Id : inria-00484043 , version 1

Citer

Romaric Gaudel, Jean-Baptiste Hoock, Julien Pérez, Nataliya Sokolovska, Olivier Teytaud. A Principled Method for Exploiting Opening Books. International Conference on Computers and Games, Sep 2010, Kanazawa, Japan. ⟨inria-00484043⟩
197 Consultations
393 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More