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.
翻译:2019年1月,DeepMind向世界上第一个人造智能(AI)系统披露了阿尔法星,在StarCraft II游戏上击败一个专业球员,这是AI进步的一个里程碑。阿尔法星利用了AI研究的许多领域,包括深层次学习、强化学习、游戏理论和进化计算(EC)。在本文中,我们主要通过EC的视角分析阿尔法星,对该系统进行新的审视,并将其与该领域的许多概念联系起来。我们强调了它最有趣的一些方面,即使用Lamarckian进化、竞争性共同进化和质量多样性。我们希望在这样做的过程中,在更广泛的EC社区与近期开发的最重要的AI系统之一之间提供一个桥梁。