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Auflistung nach Schlagwort "Deep convolutional neural networks"

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  • Zeitschriftenartikel
    Search, Abstractions and Learning in Real-Time Strategy Games
    (KI - Künstliche Intelligenz: Vol. 34, No. 1, 2020) Barriga, Nicolas A.
    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 integrating the partial solutions into action scripts that can be used as abstract actions by a search or machine learning algorithm. The resulting high level algorithm produces sound strategic choices, and can then be combined with a low-level search algorithm to refine tactical choices. We show strong results in SparCraft, Starcraft: Brood War and $$\mu $$ μ RTS against state-of-the-art agents. We expect advances in RTS AI can be used in commercial videogames for playtesting and game balancing, while also having possible real-world applications.