TY - GEN
T1 - Alphastar
T2 - 2019 Genetic and Evolutionary Computation Conference, GECCO 2019
AU - Arulkumaran, Kai
AU - Cully, Antoine
AU - Togelius, Julian
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to the Association for Computing Machinery.
PY - 2019/7/13
Y1 - 2019/7/13
N2 - In January 2019, DeepMind revealed AlphaStar to the world-the first artificial intelligence (AI) system to beat a professional player at the game of StarCraft II-representing a milestone in the progress of AI. AlphaStar draws on many areas of AI research, including deep learning, reinforcement learning, game theory, and evolutionary computation (EC). In this paper we analyze AlphaStar primarily through the lens of EC, presenting a new look at the system and relating it to many concepts in the field. We highlight some of its most interesting aspects-the use of Lamarckian evolution, competitive co-evolution, and quality diversity. In doing so, we hope to provide a bridge between the wider EC community and one of the most significant AI systems developed in recent times.
AB - In January 2019, DeepMind revealed AlphaStar to the world-the first artificial intelligence (AI) system to beat a professional player at the game of StarCraft II-representing a milestone in the progress of AI. AlphaStar draws on many areas of AI research, including deep learning, reinforcement learning, game theory, and evolutionary computation (EC). In this paper we analyze AlphaStar primarily through the lens of EC, presenting a new look at the system and relating it to many concepts in the field. We highlight some of its most interesting aspects-the use of Lamarckian evolution, competitive co-evolution, and quality diversity. In doing so, we hope to provide a bridge between the wider EC community and one of the most significant AI systems developed in recent times.
KW - Co-evolution
KW - Lamarckian evolution
KW - Quality diversity
UR - http://www.scopus.com/inward/record.url?scp=85070622576&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070622576&partnerID=8YFLogxK
U2 - 10.1145/3319619.3321894
DO - 10.1145/3319619.3321894
M3 - Conference contribution
AN - SCOPUS:85070622576
T3 - GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
SP - 314
EP - 315
BT - GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery, Inc
Y2 - 13 July 2019 through 17 July 2019
ER -