How DeepMind Conquered Go With Deep Learning (AlphaGo) | Two Minute Papers #42
28.5 هزار بار بازدید -
9 سال پیش
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This time around, Google DeepMind
This time around, Google DeepMind embarked on a journey to write an algorithm that plays Go. Go is an ancient chinese board game where the opposing players try to capture each other's stones on the board. Behind the veil of this deceptively simple ruleset, lies an enormous layer of depth and complexity. As scientists like to say, the search space of this problem is significantly larger than that of chess. So large, that one often has to rely on human intuition to find a suitable next move, therefore it is not surprising that playing Go on a high level is, or maybe was widely believed to be intractable for machines. The result is Google DeepMind's AlphaGo, the deep learning technique that defeated a professional player and European champion, Fan Hui.
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The paper "Mastering the Game of Go with Deep Neural Networks and Tree Search" is available here:
https://storage.googleapis.com/deepmi...
http://www.nature.com/nature/journal/...
Wired's coverage of AlphaGo:
http://www.wired.com/2016/01/in-a-hug...
Video coverage from DeepMind and Nature:
The computer that mastered Go
Google DeepMind: Ground-breaking Alph...
Myungwan Kim analysis: Myungwan Kim 9p reviews Fan Hui 2p vs...
Photo credits:
Watson - AP Photo/Jeopardy Productions, Inc.
Fan Hui match photo - Google DeepMind - Google DeepMind: Ground-breaking Alph...
Go board image credits (all CC BY 2.0):
Renato Ganoza - https://flic.kr/p/7nX4kK
Jaro Larnos (changes were applied, mostly recoloring) - https://flic.kr/p/dDeQU9
Luis de Bethencourt - https://flic.kr/p/4c5RaR
Detailed analysis of the games against Fan Hui and some more speculation:
Reddit: synopsis_of_top_go_professionals_analysis_of
Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_c...
Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu
Károly Zsolnai-Fehér's links:
Patreon → Patreon: TwoMinutePapers
Facebook → Facebook: TwoMinutePapers
Twitter → Twitter: karoly_zsolnai
Web → https://cg.tuwien.ac.at/~zsolnai/
__________________
The paper "Mastering the Game of Go with Deep Neural Networks and Tree Search" is available here:
https://storage.googleapis.com/deepmi...
http://www.nature.com/nature/journal/...
Wired's coverage of AlphaGo:
http://www.wired.com/2016/01/in-a-hug...
Video coverage from DeepMind and Nature:
The computer that mastered Go
Google DeepMind: Ground-breaking Alph...
Myungwan Kim analysis: Myungwan Kim 9p reviews Fan Hui 2p vs...
Photo credits:
Watson - AP Photo/Jeopardy Productions, Inc.
Fan Hui match photo - Google DeepMind - Google DeepMind: Ground-breaking Alph...
Go board image credits (all CC BY 2.0):
Renato Ganoza - https://flic.kr/p/7nX4kK
Jaro Larnos (changes were applied, mostly recoloring) - https://flic.kr/p/dDeQU9
Luis de Bethencourt - https://flic.kr/p/4c5RaR
Detailed analysis of the games against Fan Hui and some more speculation:
Reddit: synopsis_of_top_go_professionals_analysis_of
Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_c...
Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu
Károly Zsolnai-Fehér's links:
Patreon → Patreon: TwoMinutePapers
Facebook → Facebook: TwoMinutePapers
Twitter → Twitter: karoly_zsolnai
Web → https://cg.tuwien.ac.at/~zsolnai/
9 سال پیش
در تاریخ 1394/11/11 منتشر شده
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