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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
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DTSTAMP:20260916T203214Z
UID:Seminar-dept-406@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20160419T130000
DTEND:20160419T140000
SUMMARY:School Seminar Series
DESCRIPTION:Dr. Marc Lanctot: AlphaGo: Mastering the game of Go with deep neural networks and tree search\n\nThe game of Go has been long been seen as a grand challenge problem in artificial intelligence due to the inherent complexity arising from its large branching factor. In this talk, I will describe AlphaGo, which uses a new approach that combines deep learning from expert play and self-play reinforcement learning of a 'value network' to evaluate positions, and a 'policy network' to recommend moves. These networks are then used to inform the simulations of a distributed Monte Carlo tree search. AlphaGo defeats other Go programs 99.8% of the time, and won 5 games to 0 against the European Go champion, marking the first time a computer program has defeated a human expert on the full-sized board. Finally, I will discuss the match in Seoul against the 9-dan professional, Lee Sedol.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=406
LOCATION:Leggate Theatre,  Victoria Gallery & Museum
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