AlphaStar: an evolutionary computation perspective
File(s)1902.01724.pdf (74.9 KB)
Accepted version
OA Location
Author(s)
Arulkumaran, Kai
Cully, Antoine
Togelius, Julian
Type
Conference Paper
Abstract
In January 2019, DeepMind revealed AlphaStar to the world—thefirst artificial intelligence (AI) system to beat a professional playerat the game of StarCraft II—representing a milestone in the progressof AI. AlphaStar draws on many areas of AI research, includingdeep learning, reinforcement learning, game theory, and evolution-ary computation (EC). In this paper we analyze AlphaStar primar-ily through the lens of EC, presenting a new look at the systemandrelating it to many concepts in the field. We highlight some ofitsmost interesting aspects—the use of Lamarckian evolution,com-petitive co-evolution, and quality diversity. In doing so,we hopeto provide a bridge between the wider EC community and one ofthe most significant AI systems developed in recent times.
Date Issued
2019-07
Date Acceptance
2019-02-02
Citation
The Genetic and Evolutionary Computation Conference 2019, 2019, pp.314-315
ISBN
9781450367486
Publisher
ACM
Start Page
314
End Page
315
Journal / Book Title
The Genetic and Evolutionary Computation Conference 2019
Copyright Statement
© 2019 Copyright held by the owner/author(s). Publication rights licensed to the Association for Computing Machinery. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published at https://doi.org/10.1145/3319619.3321894.
Source
The Genetic and Evolutionary Computation Conference 2019
Publication Status
Published
Start Date
2019-07-13
Finish Date
2019-07-17
Coverage Spatial
Prague, Czech Republic
Date Publish Online
2019-07-17