https://github.com/mathemage/alphago-presentation

The presentation for the Spring School of Combinatorics 2016 on the paper "Mastering the Game of Go with Deep Neural Networks and Tree Search" by Google DeepMind
https://github.com/mathemage/alphago-presentation

Last synced: about 1 month ago
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The presentation for the Spring School of Combinatorics 2016 on the paper "Mastering the Game of Go with Deep Neural Networks and Tree Search" by Google DeepMind

• Host: GitHub
• URL: https://github.com/mathemage/alphago-presentation
• Owner: mathemage
• License: gpl-3.0
• Created: 2016-03-25T20:34:55.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2016-06-17T07:16:20.000Z (over 8 years ago)
• Last Synced: 2023-10-20T21:40:53.596Z (over 1 year ago)
• Language: TeX
• Homepage:
• Size: 15.5 MB
• Stars: 6
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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AlphaGo-presentation

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the presentation for the Spring School of Combinatorics 2016 on the paper "Mastering the Game of Go with Deep Neural Networks and Tree Search" by Google DeepMind

Annotation

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A bit off-topic, but highly interesting. Combining neural networks and Monte Carlo Tree Search, computers very recently defeated the first professional in the game of go. In short time, there is a scheduled match against the best human player. Good for someone with a background in machine learning/AI/etc. so that some overview and relevant details can be added. (The paper is to appear in Nature, the experiment is run by Google DeepMind.)