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The Ethereal
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
November 01, 2016 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothรฉe Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier
arXiv ID
1611.00625
Category
cs.LG: Machine Learning
Cross-listed
cs.AI
Citations
109
Venue
arXiv.org
Last Checked
4 months ago
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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