On 14.03.2016 03:17, Horace Ho wrote:
According this analysis, move 78 is not a "miracle" move ...
http://card.weibo.com/article/h5/s#cid=23041853a2e03d0102w6rl;
I have not had time to verify the tactics by reading yet but suppose
this webpage's sequences are right, move 78 and the preceding
According this analysis, move 78 is not a "miracle" move ...
http://card.weibo.com/article/h5/s#cid=23041853a2e03d0102w6rl;
On Mon, Mar 14, 2016 at 4:08 AM, Martin Mueller
wrote:
> On Mar 13, 2016, at 6:00 AM, computer-go-requ...@computer-go.org wrote:
>
>
> So, what
On Mar 13, 2016, at 6:00 AM, computer-go-requ...@computer-go.org wrote:
>
>> So, what would be Lee's best effort to exploit this? Complicating
>> and playing hopefully-unexpected-tesuji moves?
Judging from this game, setting up multiple interrelated tactical fights, such
that no subset of them
There is no way to not know that O10 was dead after white plays O9, since
AlphaGo handled much more complicated fights even in the games in October.
My only guess from looking at the sequence around O10, where black makes
its own big group bigger is that it was preparing for a ko-fight, and
PM
To: computer-go@computer-go.org
Subject: Re: [Computer-go] Game 4: a rare insight
> You are right, but from fig 2 of the paper can see, that mc and value
> network should give similar results:
>
> 70% value network should be comparable to 60-65% MC winrate from this
> paper, u
> You are right, but from fig 2 of the paper can see, that mc and value
> network should give similar results:
>
> 70% value network should be comparable to 60-65% MC winrate from this
> paper, usually expected around move 140 in a "human expert game" (what
> ever this means in this figure :)
And a related question from a fellow "beginner": At what point was that
group actually dead?
On 03/13/2016 07:55 AM, Olivier Teytaud wrote:
Should we understand that AlphaGo had not understood that O10 was dead ?
(sorry for Go beginner question :-) )
On Sun, Mar 13, 2016 at 1:42 PM, Detlef
Should we understand that AlphaGo had not understood that O10 was dead ?
(sorry for Go beginner question :-) )
On Sun, Mar 13, 2016 at 1:42 PM, Detlef Schmicker wrote:
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> You are right, but from fig 2 of the paper can see, that
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You are right, but from fig 2 of the paper can see, that mc and value
network should give similar results:
70% value network should be comparable to 60-65% MC winrate from this
paper, usually expected around move 140 in a "human expert game" (what
2016-03-13 17:54 GMT+09:00 Darren Cook :
> From Demis Hassabis:
> When I say 'thought' and 'realisation' I just mean the output of
> #AlphaGo value net. It was around 70% at move 79 and then dived
> on move 87
>
>
To: computer-go@computer-go.org
Subject: Re: [Computer-go] Game 4: a rare insight
What is the most interesting part is, that at this point many pro commentators
found a lot of aji, but did not find a "solution" for Lee Sedol that broke
AlphaGos position. So the question remains: Did AlphaGo f
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Am 13.03.2016 um 11:28 schrieb Josef Moudrik:
> How well do you think the mcts-weakness we have witnessed today is
> hidden in AG? Or, how can one go about exploiting it
> systematically?
>
> I think it might be well hidden by the value network
How well do you think the mcts-weakness we have witnessed today is hidden
in AG? Or, how can one go about exploiting it systematically?
I think it might be well hidden by the value network being very strong and
true most of the time - it is much harder to get AG to this state, than
traditional
Hi Marc,
"but did not find a "solution" for Lee Sedol that broke AlphaGos position"
-- this is not true. Ke Jie and Gu Li both found more than one way to break
the position :)
On Sun, Mar 13, 2016 at 5:26 AM, Marc Landgraf wrote:
> What is the most interesting part is,
What is the most interesting part is, that at this point many pro
commentators found a lot of aji, but did not find a "solution" for Lee
Sedol that broke AlphaGos position. So the question remains: Did
AlphaGo find a hole in it's own position and tried to dodge that? Was
it too strong for its own
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Interesting, my value net does the same, even it was trained totally
different from 7d+ games :)
Am 13.03.2016 um 09:54 schrieb Darren Cook:
> From Demis Hassabis: When I say 'thought' and 'realisation' I just
> mean the output of #AlphaGo value net.
From Demis Hassabis:
When I say 'thought' and 'realisation' I just mean the output of
#AlphaGo value net. It was around 70% at move 79 and then dived
on move 87
https://twitter.com/demishassabis/status/708934687926804482
Assuming that is an MCTS estimate of winning probability, that 70%
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