AlphaGo Zero - How and Why it Works
Wheeler (Tim Allan)
Source: Author's Website
Paper - Abstract

Paper StatisticsBooks / Papers Citing this PaperDisclaimer


Author’s Abstract

  1. DeepMind's AlphaGo made waves when it became the first AI to beat a top human Go player in March of 2016. This version of AlphaGo - AlphaGo Lee - used a large set of Go games from the best players in the world during its training process.
  2. A new paper was released a few days ago detailing a new neural net - AlphaGo Zero - that does not need humans to show it how to play Go. Not only does it outperform all previous Go players, human or machine, it does so after only three days of training time.
  3. This article will explain how and why it works.

Comment:

See AlphaGo Zero - How and Why it Works.

Text Colour Conventions (see disclaimer)

  1. Blue: Text by me; © Theo Todman, 2018
  2. Mauve: Text by correspondent(s) or other author(s); © the author(s)



© Theo Todman, June 2007 - Dec 2018. Please address any comments on this page to theo@theotodman.com. File output:
Website Maintenance Dashboard
Return to Top of this Page Return to Theo Todman's Philosophy Page Return to Theo Todman's Home Page