Study and improvement of search algorithms in two-players perfect information games

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autor principal: Cohen-Solal, Quentin
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866909610822074368
author Cohen-Solal, Quentin
author_facet Cohen-Solal, Quentin
contents Games, in their mathematical sense, are everywhere (game industries, economics, defense, education, chemistry, biology, ...).Search algorithms in games are artificial intelligence methods for playing such games. Unfortunately, there is no study on these algorithms that evaluates the generality of their performance. We propose to address this gap in the case of two-player zero-sum games with perfect information. Furthermore, we propose a new search algorithm and we show that, for a short search time, it outperforms all studied algorithms on all games in this large experiment and that, for a medium search time, it outperforms all studied algorithms on 17 of the 22 studied games.
format Preprint
id arxiv_https___arxiv_org_abs_2505_09639
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Study and improvement of search algorithms in two-players perfect information games
Cohen-Solal, Quentin
Artificial Intelligence
Computer Science and Game Theory
Games, in their mathematical sense, are everywhere (game industries, economics, defense, education, chemistry, biology, ...).Search algorithms in games are artificial intelligence methods for playing such games. Unfortunately, there is no study on these algorithms that evaluates the generality of their performance. We propose to address this gap in the case of two-player zero-sum games with perfect information. Furthermore, we propose a new search algorithm and we show that, for a short search time, it outperforms all studied algorithms on all games in this large experiment and that, for a medium search time, it outperforms all studied algorithms on 17 of the 22 studied games.
title Study and improvement of search algorithms in two-players perfect information games
topic Artificial Intelligence
Computer Science and Game Theory
url https://arxiv.org/abs/2505.09639