Superhuman AI for multiplayer poker
Superhuman AI for multiplayer poker
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DOI：
10.1126/science.aay2400
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发表时间：
2019-08-30
期刊：
影响因子：
56.9
通讯作者：
Sandholm, Tuomas
中科院分区：
文献类型：
--
作者：
Brown, Noam;Sandholm, Tuomas
近年来，人工智能（AI）取得了长足的进步，游戏经常被用作挑战问题、基准和进步的里程碑。几十年来，扑克一直是一个具有挑战性的问题。过去在此类基准（包括扑克）中取得的成功仅限于双人游戏。然而，扑克特别是传统上与两个以上的玩家一起玩。多人游戏提出了一些基本的额外问题，而多人扑克是公认的AI里程碑。在本文中，我们介绍了Pluribus，我们显示它在六人无限制德州扑克中比顶级人类专业人士更强大，这是人类最流行的扑克形式。
In recent years there have been great strides in artificial intelligence (AI), with games often serving as challenge problems, benchmarks, and milestones for progress. Poker has served for decades as such a challenge problem. Past successes in such benchmarks, including poker, have been limited to two-player games. However, poker in particular is traditionally played with more than two players. Multiplayer games present fundamental additional issues beyond those in two-player games, and multiplayer poker is a recognized AI milestone. In this paper we present Pluribus, an AI that we show is stronger than top human professionals in six-player no-limit Texas hold'em poker, the most popular form of poker played by humans.