演講者：Prof. Tristan CazeNave

時間：4/27(三) 10:00 AM ~ 11:10 AM

地點：EC345

主持人：吳毅成教授

主題：Monte-Carlo Tree Search, Deep Learning and Go

演講摘要(Abstract)：

  Monte Carlo Tree Search is a family of algorithms that improved greatly the state of the art in multiple games and optimization problems. This talk will address its application to games such as Go and General Game Playing. Nested Monte Carlo Search is a related algorithm for optimization problems. We will describe how it broke world records for puzzles, mathematical problems and expression discovery.

講者介紹：

 Prof. Tristan CazeNave

 Université Paris Dauphine, France

 Tristan Cazenave is professor of computer science at LAMSADE, University Paris-Dauphine. He does research in Artificial Intelligence for games and optimization using Monte Carlo Tree Search and heuristic search.

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