DocumentCode
2496545
Title
Monte-Carlo planning for unit control in StarCraft
Author
Wang, Zhe ; Nguyen, Kien Quang ; Thawonmas, Ruck ; Rinaldo, Frank
Author_Institution
Intell. Comput. Entertainment Lab., Ritsumeikan Univ., Kyoto, Japan
fYear
2012
fDate
2-5 Oct. 2012
Firstpage
263
Lastpage
264
Abstract
This paper presents an application of Monte-Carlo planning (MCPlan) to controlling units in a RTS game StarCraft. We apply an ε - greedy algorithm to model the opponent in a simulation for improving MCPlan´s performance. Experimental results are provided at the end of this paper, which show the potential of MCPlan in this domain.
Keywords
Monte Carlo methods; computer games; greedy algorithms; multi-agent systems; planning (artificial intelligence); ε - greedy algorithm; MCPlan performance; Monte-Carlo planning; RTS game; StarCraft; unit control; Artificial intelligence; Computational modeling; Conferences; Games; Monte Carlo methods; Planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (GCCE), 2012 IEEE 1st Global Conference on
Conference_Location
Tokyo
Print_ISBN
978-1-4673-1500-5
Type
conf
DOI
10.1109/GCCE.2012.6379597
Filename
6379597
Link To Document