Congratulations!
What I find most impressive is the engineering effort, combining so many
different parts, which even standalone would be a strong program.
I think the design philosophy of using 3 different sources of "go
playing" strength is great in it self (and if you read the paper there
are a lot of old school computer go programming expetise used as well).
I think we oft get stuck trying to perfect one module when perhaps what
we need is a new module that improves search effectively on a different
scale. I have not time and resources to do neural networks learning, but
for my new program I would like to experimentwith using patterns on many
levels, and this is inspiring.
Magnus Persson
On 2016-01-27 19:46, Aja Huang 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 [1]
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.
Links:
------
[1] http://www.deepmind.com/alpha-go.html
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