DeepMind Lab
Charles Beattie, Joel Z. Leibo, Denis Teplyashin, Tom Ward, Marcus, Wainwright, Heinrich K\"uttler, Andrew Lefrancq, Simon Green, V\'ictor, Vald\'es, Amir Sadik, Julian Schrittwieser, Keith Anderson, Sarah York, Max, Cant, Adam Cain, Adrian Bolton, Stephen Gaffney, Helen King
TL;DR
DeepMind Lab is a versatile 3D game platform designed for developing and testing general AI systems in complex, visually diverse environments, facilitating research in autonomous learning and AI design.
Contribution
It introduces a flexible, fast 3D platform with a simple API for creating complex tasks to advance AI research and development.
Findings
Supports studying autonomous agent learning in complex environments
Enables rapid iteration of AI algorithms and task designs
Provides a widely recognized game engine for research use
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.
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Taxonomy
TopicsArtificial Intelligence in Games · Scientific Computing and Data Management · Reinforcement Learning in Robotics