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

@article{Synnaeve2016TorchCraftAL,
  title={TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games},
  author={Gabriel Synnaeve and Nantas Nardelli and Alex Auvolat and Soumith Chintala and Timoth{\'e}e Lacroix and Zeming Lin and Florian Richoux and Nicolas Usunier},
  journal={CoRR},
  year={2016},
  volume={abs/1611.00625}
}
We present TorchCraft, an open-source 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 [9]. 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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