Time Management for Monte-Carlo Tree Search in Go

Hendrik Baier, Mark H.M. Winands

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)

Samenvatting

The dominant approach for programs playing the game of Go is nowadays Monte-Carlo Tree Search (MCTS). While MCTS allows for fine-grained time control, little has been published on time management for MCTS programs under tournament conditions. This paper investigates the effects that various time-management strategies have on the playing strength in Go. We consider strategies taken from the literature as well as newly proposed and improved ones. We investigate both semi-dynamic strategies that decide about time allocation for each search before it is started, and dynamic strategies that influence the duration of each move search while it is already running. In our experiments, two domain-independent enhanced strategies, EARLY-C and CLOSE-N, are tested; each of them provides a significant improvement over the state of the art.

Originele taal-2Engels
TitelAdvances in Computer Games - 13th International Conference, ACG 2011, Revised Selected Papers
RedacteurenH.J. van den Herik, A. Plaat
Plaats van productieBerlin
UitgeverijSpringer
Pagina's39-51
Aantal pagina's13
ISBN van elektronische versie978-3-642-31866-5
ISBN van geprinte versie9783642318658
DOI's
StatusGepubliceerd - 2012
Extern gepubliceerdJa
Evenement13th International Conference on Advances in Computer Games, ACG 2011 - Tilburg, Nederland
Duur: 20 nov. 201122 nov. 2011

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7168 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres13th International Conference on Advances in Computer Games, ACG 2011
Land/RegioNederland
StadTilburg
Periode20/11/1122/11/11

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