Aja, I read the paper with great interest. [Insert appropriate praises here.]
I am trying to understand the part where you use reinforcement learning to improve upon the CNN trained by imitating humans. One thing that is not explained is how to determine that a game is over, particularly when a player is simply a CNN that has a probability distribution as its output. Do you play until every point is either a suicide or looks like an eye? Do you do anything to make sure you don't play in a seki? I am sure you are a busy man these days, so please answer only when you have time. Thanks! Álvaro. On Wed, Jan 27, 2016 at 1:46 PM, Aja Huang <ajahu...@google.com> wrote: > Hi all, > > We are very excited to announce that our Go program, AlphaGo, has beaten a > professional player for the first time. AlphaGo beat the European champion > Fan Hui by 5 games to 0. We hope you enjoy our paper, published in Nature > today. The paper and all the games can be found here: > > http://www.deepmind.com/alpha-go.html > > AlphaGo will be competing in a match against Lee Sedol in Seoul, this > March, to see whether we finally have a Go program that is stronger than > any human! > > Aja > > PS I am very busy preparing AlphaGo for the match, so apologies in advance > if I cannot respond to all questions about AlphaGo. > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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