[Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search
ds2 at physik.de
Thu Jan 28 22:06:59 PST 2016
-----BEGIN PGP SIGNED MESSAGE-----
I think you are not alone: When I started computer go 4 years ago I
ask a good friend of mine, who did his PhD in Neural Networks back in
the 90s, if I have any chance to use them instead of pattern matching
and he said, they will probably not generalize in a good way :)
I think the big size of the nets make a qualitative difference,
therefore our intuition is misleading...
Congrats to the AlphaGo team,
Am 29.01.2016 um 02:14 schrieb "Ingo Althöfer":
> Hi Simon,
> do your remember my silly remarks in an email discussion almost a
> year ago?
> You had written:
>>> So, yes, with all the exciting work in DCNN, it is very
>>> tempting to also do DCNN. But I am not sure if we should do
> And my silly reply had been:
>> I think that DCNN is somehow in a dreamdancing appartment. My
>> opinion: We might mention it in our proposal, but not as a
>> central topic.
> In my mathematical life I have been wrong with my intuition only a
> few times. This DCNN topic was the worst case so far...
> Greetings from the bottom, Ingo.
> Gesendet: Donnerstag, 28. Januar 2016 um 16:41 Uhr Von: "Lucas,
> Simon M" <sml at essex.ac.uk> An: "computer-go at computer-go.org"
> <computer-go at computer-go.org> Betreff: Re: [Computer-go] Mastering
> the Game of Go with Deep Neural Networks and Tree Search
> Indeed – Congratulations to Google DeepMind!
> It’s truly an immense achievement. I’m struggling to think of
> other examples of reasonably mature and strongly contested AI
> challenges where a new system has made such a huge improvement
> over existing systems – and I’m still struggling …
> Simon Lucas _______________________________________________
> Computer-go mailing list Computer-go at computer-go.org
-----BEGIN PGP SIGNATURE-----
Version: GnuPG v2.0.22 (GNU/Linux)
-----END PGP SIGNATURE-----
More information about the Computer-go