AlphaStar: An Evolutionary Computation Perspective
February 05, 2019 ยท Declared Dead ยท ๐ Annual Conference on Genetic and Evolutionary Computation
"No code URL or promise found in abstract"
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Authors
Kai Arulkumaran, Antoine Cully, Julian Togelius
arXiv ID
1902.01724
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI,
cs.LG
Citations
197
Venue
Annual Conference on Genetic and Evolutionary Computation
Last Checked
2 months ago
Abstract
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.
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