Resource-gathering algorithms in the game of Starcraft

Martin L.M. Rooijackers, Mark H.M. Winands

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Abstract

StarCraft is a real-time strategy game, which has a large state space, and commonly features two opposing players, capable of acting simultaneously. One of the aspects of the game is resource gathering. Each agent playing StarCraft has to gather minerals from nearby mineral field in order to produce more units. The more resources can be gathered, the larger the army is to attack the opponent and win the game. We present five algorithms that can be used for resource gathering for an intelligent agent playing the game of StarCraft: Brood War. The results reveal that improving the scheduling or the path finding improve the resource gathering considerably.

Original languageEnglish
Title of host publication2017 IEEE Conference on Computational Intelligence and Games
PublisherIEEE
Pages264-271
Number of pages8
DOIs
Publication statusPublished - Aug 2017
Event2017 IEEE Conference on Computational Intelligence and Games (CIG) - New York, United States
Duration: 22 Aug 201725 Aug 2017

Conference

Conference2017 IEEE Conference on Computational Intelligence and Games (CIG)
Country/TerritoryUnited States
CityNew York
Period22/08/1725/08/17

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