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Journal Articles IEEE Transactions on Computational Intelligence and AI in games Year : 2013

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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Dates and versions

hal-00871001 , version 1 (08-10-2013)

Identifiers

  • HAL Id : hal-00871001 , version 1

Cite

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, 2013, 5 (4), pp.1-19. ⟨hal-00871001⟩
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