Congratulations to Aja! A question to the community. Is anyone going to replicate the experimental results?
https://www.quora.com/Is-anyone-replicating-the-experimental-results-of-the-human-level-Go-player-published-by-Google-Deepmind-in-Nature-in-January-2016 ? Jason On Thu, Jan 28, 2016 at 9:26 AM, Erik van der Werf <erikvanderw...@gmail.com > wrote: > 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 >
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