Video-Streaming for Real-time Rendering
AlphaGo,
2016.03.02Youngsung Son
#AgendaAlphaGo AlphaGo 9 AlphaGo
#https://m.facebook.com/story.php?story_fbid=10102619979696481&id=4
AlphaGo
#https://gogameguru.com/alpha-go-fan-hui/
Fan Hui 2
Europe Champion 4(2013,2014,2015,2016)AlphaGo
#5 : 1, 30 3 : 30 3
: Fan Hui 0-5 AlphaGo : Fan Hui 2-3 AlphaGoAlphaGo
http://www.yonhapnews.co.kr/bulletin/2016/02/15/0200000000AKR20160215002700007.HTML
#https://gogameguru.com/alpha-go-fan-hui/
0 - 5AlphaGo
#https://www.youtube.com/watch?v=SUbqykXVx0AAlphaGo
#Alpha Go
Mastering the game of Go with deep neural networks and tree
search Nature, 2016
#AgendaAlpha Go Alpha Go 9 Alpha Go
#http://time.com/3705316/deep-blue-kasparov/
Kasparov vs. IBM DeepBlue1997.12
#http://nautil.us/issue/18/genius/why-the-chess-computer-deep-blue-played-like-a-human
#http://www.chessgames.com/perl/chesscollection?cid=1014770
#http://stanford.edu/~cpiech/cs221/apps/deepBlue.html
https://www.uio.no/studier/emner/matnat/ifi/INF4130/h12/undervisningsmateriale/chess-algorithms-theory-and-practice-ver2012.pdf
DeepBlue Chess Algorithm Monte Carlo Tree SearchGame Tree
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208168199381979984699478633344862770286522453884530548425639456820927419612738015378525648451698519643907259916015628128546089888314427129715319317557736620397247064840935(19x19
board) 361!
#AgendaAlphaGo AlphaGo 9 AlphaGo
#48 CPU 494 : 11202 CPU 5 : 0 KGS (5~9)16 3000 100 self 3
AlphaGo
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AlphaGo
#http://deepmind.com/alpha-go.html
AlphaGo
#http://deepmind.com/alpha-go.html
AlphaGo
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AlphaGo
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AlphaGo Deep Learning
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AlphaGo MCTS
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100,000 simulation against open source Go program, PachiAlphaGo
Training 13-layer policy network from 30million positions
#AgendaAlpha Go Alpha Go 9 Alpha Go
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9
#1 : 3 9 () 12 : 3 10 () 13 : 3 12 () 14 : 3 13 () 15 : 3 15 ()
1 : Aja Huang 6 (DeepMind ) : , 2, 1 3 (4~5 ) 12($1M) (? 5 ?) 9
#AgendaAlpha Go Alpha Go 9 Alpha Go
#9 (1/3)
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9 (2/3)
2 60 3
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9 (3/3)
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AgendaAlphaGo AlphaGo 9 AlphaGo
#AlphaGo
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20David Silver, Aja Huang, Chris J. Maddison, Arthur Guez,
Laurent Sifre, George van den Driessche, Julian Schrittwieser,
Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander
Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya
Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu,
Thore Graepel &Demis HassabisAlphaGo
#AlphaGo
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1872 AlphaGo
#ReferencesDeepMind, https://deepmind.com/alpha-go.htmlWhy the
Chess Computer Deep Blue Played Like a Human,
http://nautil.us/issue/18/genius/why-the-chess-computer-deep-blue-played-like-a-humanMonte
Carlo Tree Search, http://mcts.ai/about/index.htmlDavid Silver,
etc, Mastering the game of Go with deep neural networks and tree
search, Nature, p.484-489, Jan. 2016Volodymyr Mnih, etc,
Human-level control through deep reinforcementlearning, Nature,
p.529-43, Feb. 2015 , AlphaGo , SPRi Issue Report, 2016.02
#Thank you
Youngsung [email protected]
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