Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2019 · 122 citations · 5 references
ComputingComputer ScienceArtificial IntelligenceGame TheoryMachine LearningDeep LearningEvolutionary ComputationEvolutionary Game TheoryNeural NetworksReinforcement LearningArtificial Intelligence In GamesCo-evolutionCompetitive Co-evolutionary AlgorithmsComputational Game TheoryDeep Reinforcement LearningQuality Diversity
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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Mastering the game of Go with deep neural networks and tree search
David Silver, Aja Huang, Chris J. Maddison et al. · Nature · 2016 · 15.8K citations
New Methods for Competitive Coevolution
Christopher D. Rosin, Richard K. Belew · Evolutionary Computation · 1997 · 586 citations