Google’s breakthrough is just as impactful as the invention of MCTS. Congratulations to the team. It’s a huge leap for computer go, but more importantly it shows that DNN can be applied to many other difficult problems.
I just added an answer. I don’t think anyone will try to exactly replicate it, but a year from now there should be several strong programs using very similar techniques, with similar strength. An interesting question is, who has integrated or is integrating a DNN into their go program? I’m working on it. I know there are several others. David From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of Jason Li Sent: Wednesday, January 27, 2016 3:14 PM To: computer-go@computer-go.org Subject: Re: [Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search 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
_______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
