• DOI:10.1109/CIG.2013.6633643
Corpus ID: 15708111

Portfolio greedy search and simulation for large-scale combat in starcraft

@article{Churchill2013PortfolioGS,
  title={Portfolio greedy search and simulation for large-scale combat in starcraft},
  author={D. Churchill and M. Buro},
  journal={2013 IEEE Conference on Computational Inteligence in Games (CIG)},
  year={2013},
  pages={1-8}
}

D. Churchill, M. Buro

Published 2013

Computer Science

2013 IEEE Conference on Computational Inteligence in Games (CIG)

Real-time strategy video games have proven to be a very challenging area for applications of artificial intelligence research. With their vast state and action spaces and real-time constraints, existing AI solutions have been shown to be too slow, or only able to be applied to small problem sets, while human players still dominate RTS AI systems. This paper makes three contributions to advancing the state of AI for popular commercial RTS game combat, which can consist of battles of dozens of… CONTINUE READING

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