Predicting combat outcomes and optimizing armies in StarCraft II by deep learning

Author:

Lee DonghyeonORCID,Kim Man-JeORCID,Ahn Chang WookORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference33 articles.

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3. Portfolio greedy search and simulation for large-scale combat in StarCraft;Churchill,2013

4. Robust continuous build-order optimization in StarCraft;Churchill,2019

5. Churchill, D., Saffidine, A., & Buro, M. (2012). Fast heuristic search for RTS game combat scenarios. In Proc. 8th AAAI conf. artif. intell. and interact. digit. entertainment (AIIDE-12) (pp. 112–117).

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