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

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arxiv 1611.00625 v2 pith:NOINZGRM submitted 2016-11-01 cs.LG cs.AI

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

Gabriel Synnaeve , Nantas Nardelli , Alex Auvolat , Soumith Chintala , Timoth\'ee Lacroix , Zeming Lin , Florian Richoux , Nicolas Usunier This is my paper
classification cs.LG cs.AI
keywords gameslearningresearchtorchcraftlibrarymachinereal-timestrategy
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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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