Search, Abstractions and Learning in Real-Time Strategy Games

作者: Nicolas A. Barriga

DOI: 10.1007/S13218-019-00614-0

关键词:

摘要: Abstract Real-Time Strategy Games' large state and action spaces pose a significant hurdle to traditional AI techniques. We propose decomposing the game into sub-problems and …

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