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TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games

Published 1 Nov 2016 in cs.LG and cs.AI | (1611.00625v2)

Abstract: We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from a machine learning framework, here Torch. This white paper argues for using RTS games as a benchmark for AI research, and describes the design and components of TorchCraft.

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