DeepMind Lab

Charles Beattie; Joel Z. Leibo; Denis Teplyashin; Tom Ward; Marcus Wainwright; Heinrich Küttler; Andrew Lefrancq; Simon Green; Víctor Valdés; Amir Sadik; Julian Schrittwieser; Keith Anderson; Sarah York; Max Cant; Adam Cain; Adrian Bolton; Stephen Gaffney; Helen King; Demis Hassabis; Shane Legg; Stig Petersen

DeepMind Lab

Artificial Intelligence 2016-12-14 v2

Authors: Charles Beattie , Joel Z. Leibo , Denis Teplyashin , Tom Ward , Marcus Wainwright , Heinrich Küttler , Andrew Lefrancq , Simon Green , Víctor Valdés , Amir Sadik , Julian Schrittwieser , Keith Anderson , Sarah York , Max Cant , Adam Cain , Adrian Bolton , Stephen Gaffney , Helen King , Demis Hassabis , Shane Legg , Stig Petersen

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Abstract

DeepMind Lab is a first-person 3D game platform designed for research and development of general artificial intelligence and machine learning systems. DeepMind Lab can be used to study how autonomous artificial agents may learn complex tasks in large, partially observed, and visually diverse worlds. DeepMind Lab has a simple and flexible API enabling creative task-designs and novel AI-designs to be explored and quickly iterated upon. It is powered by a fast and widely recognised game engine, and tailored for effective use by the research community.

Keywords

game procedural content generation artificial intelligence

Cite

@article{arxiv.1612.03801,
  title  = {DeepMind Lab},
  author = {Charles Beattie and Joel Z. Leibo and Denis Teplyashin and Tom Ward and Marcus Wainwright and Heinrich Küttler and Andrew Lefrancq and Simon Green and Víctor Valdés and Amir Sadik and Julian Schrittwieser and Keith Anderson and Sarah York and Max Cant and Adam Cain and Adrian Bolton and Stephen Gaffney and Helen King and Demis Hassabis and Shane Legg and Stig Petersen},
  journal= {arXiv preprint arXiv:1612.03801},
  year   = {2016}
}

Comments

11 pages, 8 figures

DeepMind Lab

Abstract

Keywords

Cite

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