首场交叉信息研究院--海华研究院AI 专题特邀讲座系列IIIS-Haihua Distinguished Seminar Series in Artificial Intelligence邀请到德州扑克算法幕后研发者卡耐基梅隆大学博士Noam Brown，为大家揭秘称霸德州扑克赛场的AI机器人Libratus，是如何成为今年最瞩目的AI明星。AI扑克牌机器人在德州扑克这项复杂游戏中，碾压了人类职业选手！被其设计者Noam Brown称为“AI扑克界的圣杯（the holy grail ）”。《科学》最新发布的预印版论文，详细解读了AI德州扑克玩家背后系统的全貌。想知道，AI机器人是如何在复杂对局中击败顶级人类玩家的？10月10日下午14点，清华大学多功能厅一起来听AI德扑玩家背后的算法秘密。

Abstract:  The field of artificial intelligence has had a number of high-profile successes in the domain of perfect-information games like chess or Go where all participants know the exact state of the world. But real-world strategic interactions typically involve hidden information, such as in negotiations, cybersecurity, and financial markets. Past AI techniques fall apart in these settings, with poker serving as the classic example. Pluribus is an AI that, in a 10,000-hand competition, defeated a collection of elite human professionals in six-player no-limit Texas hold’em poker, the leading benchmark for imperfect-information games and a long-standing challenge problem for AI in general. In this talk I will explain why poker was such a difficult challenge for AI, and the advances in Pluribus that overcame those challenges. I will conclude by discussing what comes next for multi-agent artificial intelligence research.

Bio:  Noam Brown is a Research Scientist at Facebook AI Research. His research combines computational game theory and machine learning to develop AI systems capable of strategic reasoning in large imperfect-information multi-agent settings. He has applied this research to creating Libratus and Pluribus, the first AIs to defeat top humans in two-player no-limit poker and multi-player no-limit poker, respectively. Libratus was one of 12 finalists for Science Magazine's Scientific Breakthrough of the Year and Pluribus was featured on the cover of Science Magazine. Noam has also received the 2017 Allen Newell Award for Research Excellence, the 2019 Marvin Minsky Medal for Outstanding Achievements in AI, and was named one of MIT Tech Review's 35 Innovators Under 35.