Go

4 entries between January 2016 and October 2017, 2 turning points.

Turning points

  1. AlphaGo Zero learns Go from self-play alone

    DeepMind announced AlphaGo Zero, trained only by playing itself from random play, with no human games and no hand-crafted features. After three days it beat the version that had defeated Lee Sedol, 100 games to nil. Nature published the work the next day.

  2. AlphaGo defeats Lee Sedol 4-1 in Seoul

    DeepMind’s AlphaGo won the last game of a five-game match against Lee Sedol in Seoul on 15 March 2016, taking the series 4-1. Lee, a nine-dan professional, won game four, the only game the program lost. The winner’s $1 million prize went to charity.

Every entry

  1. AlphaGo Zero learns Go from self-play alone

    DeepMind announced AlphaGo Zero, trained only by playing itself from random play, with no human games and no hand-crafted features. After three days it beat the version that had defeated Lee Sedol, 100 games to nil. Nature published the work the next day.

  2. AlphaGo defeats Ke Jie 3-0 in Wuzhen

    AlphaGo played Ke Jie, then the world’s top-ranked Go player, in three games at the Future of Go Summit in Wuzhen, China, taking the first by half a point and the next two by resignation. DeepMind had offered a $1.5 million prize.

  3. AlphaGo defeats Lee Sedol 4-1 in Seoul

    DeepMind’s AlphaGo won the last game of a five-game match against Lee Sedol in Seoul on 15 March 2016, taking the series 4-1. Lee, a nine-dan professional, won game four, the only game the program lost. The winner’s $1 million prize went to charity.

  4. Nature publishes the paper behind AlphaGo

    Nature published “Mastering the game of Go with deep neural networks and tree search” by David Silver, Demis Hassabis and 18 co-authors at Google DeepMind. It disclosed that AlphaGo had already beaten the European champion Fan Hui five games to nil in October 2015.