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A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft

Abstract : This paper presents an overview of the existing work on AI for real-time strategy (RTS) games. Specifically, we focus on the work around the game StarCraft, which has emerged in the past few years as the unified test-bed for this research. We describe the specific AI challenges posed by RTS games, and overview the solutions that have been explored to address them. Additionally, we also present a summary of the results of the recent StarCraft AI competitions, describing the architectures used by the participants. Finally, we conclude with a discussion emphasizing which problems in the context of RTS game AI have been solved, and which remain open.
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Submitted on : Tuesday, October 8, 2013 - 3:24:21 PM
Last modification on : Wednesday, April 27, 2022 - 4:12:36 AM
Long-term archiving on: : Thursday, January 9, 2014 - 4:31:40 AM


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  • HAL Id : hal-00871001, version 1



Santiago Ontañon, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, et al.. A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft. IEEE Transactions on Computational Intelligence and AI in games, IEEE Computational Intelligence Society, 2013, 5 (4), pp.1-19. ⟨hal-00871001⟩



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