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

1 November 2016
Gabriel Synnaeve
Nantas Nardelli
Alex Auvolat
Soumith Chintala
Timothée Lacroix
Zeming Lin
Florian Richoux
Nicolas Usunier
    GNN
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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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