Prediction of early stage opponents strategy for StarCraft AI using scouting and machine learning

@inproceedings{Park2012PredictionOE,
  title={Prediction of early stage opponents strategy for StarCraft AI using scouting and machine learning},
  author={H. Park and Hochul Cho and Kwangyeol Lee and Kyung-Joong Kim},
  booktitle={WASA '12},
  year={2012}
}
  • H. Park, Hochul Cho, +1 author Kyung-Joong Kim
  • Published in WASA '12 2012
  • Computer Science
  • StarCraft is one of the most famous Real-Time Strategy Games and there have been several competitions on AI bots. [...] Key Method In this paper, we apply a scouting algorithm and various machine learning algorithms to predict an opponents attack timing (strategy). Training data are collected from the games between our Xelnaga bot with the scouting algorithm and various online human players. Experimental results show that the machine learning approach based on realistic scouting data can be beneficial in…Expand Abstract
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