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} }
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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