Wow, excellent results, congratulations Aja & team! I'm surprised to see nothing explicitly on decomposing into subgames (e.g. for semeai). I always thought some kind of adaptive decomposition would be needed to reach pro-strength... I guess you must have looked into this; does this mean that the networks have learnt to do it by themselves? Or perhaps they play in a way that simply avoids their weaknesses?
Would be interesting to see a demonstration that the networks have learned the semeai rules through reinforcement learning / self-play :-) Best, Erik On Wed, Jan 27, 2016 at 7:46 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 >
_______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
