Corpus ID: 14831808

Hierarchical Adversarial Search Applied to Real-Time Strategy Games

@inproceedings{Stnescu2014HierarchicalAS,
  title={Hierarchical Adversarial Search Applied to Real-Time Strategy Games},
  author={M. Stănescu and Nicolas A. Barriga and M. Buro},
  booktitle={AIIDE},
  year={2014}
}

M. Stănescu, Nicolas A. Barriga, M. Buro

Published in AIIDE 2014

Computer Science

Real-Time Strategy (RTS) video games have proven to be a very challenging application area for artificial intelligence research. [...] Key Method Each level implements a different abstraction — from deciding how to win the game at the top of the hierarchy to individual unit orders at the bottom. We apply a 3-layer version of our model to SparCraft — a Star-Craft combat simulator — and show that it outperforms state of the art algorithms such as Alpha-Beta, UCT, and Portfolio Search in large combat scenarios…Expand Abstract

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