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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 being very
> strong and true most of the time - it is much harder to get AG to
> this state, than traditional mcts bots with much less truthful
> evaluations.
> 
> So, what would be Lee's best effort to exploit this? Complicating
> and playing hopefully-unexpected-tesuji moves?
> 
> Detlef: Demmis tweeted that the w78 caused b79 mistake, that only
> surfaced out some ten moves later. Ca you share the development of
> the value evals during these moves? Did your net fall down right
> after move 78?

My net is very unstable in the sequence, jumping around a lot. But I
am in a very early state of value network, just wanted to state:

This is probably more a problem of the value network, than of the MC
playouts, they are quite stable in the sequence, but don't put to much
into this, I am not really convinced of my net at the moment :(


> 
> What an interesting times we live in :-)
> 
> Regards, Josef
> 
> Dne ne 13. 3. 2016 10:33 uživatel Marc Landgraf
> <mahrgel...@gmail.com> napsal:
> 
>> Oh, is it possible to provide those variants? Or is there a
>> recording of the broadcast, reading the board is probably enough
>> to roughly understand it.
>> 
>> 2016-03-13 10:32 GMT+01:00 Chun Sun <sunchu...@gmail.com>:
>>> 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
>>> <mahrgel...@gmail.com>
>> wrote:
>>>> 
>>>> 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 good? Or was it a misevaluation due to the immense
>>>> amounts of aji, which would not result in harm, if played 
>>>> properly?
>>>> 
>>>> 
>>>> 2016-03-13 9:54 GMT+01:00 Darren Cook <dar...@dcook.org>:
>>>>> 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%
>>>>> sounds high (i.e. very confident); when I was doing the
>>>>> computer-human team experiments, on 9x9, with three MCTS
>>>>> programs, I generally knew
>> I'd
>>>>> found a winning move when the percentages moved from the
>>>>> 48-52% range to, say, 55%.
>>>>> 
>>>>> I really hope they reveal the win estimates for each move
>>>>> of the 5 games. It will especially be interesting to then
>>>>> compare that to the other leading MCTS programs.
>>>>> 
>>>>> Darren
>>>>> 
>>>>> _______________________________________________ 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
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>> _______________________________________________ Computer-go
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> 
> 
> 
> _______________________________________________ Computer-go mailing
> list Computer-go@computer-go.org 
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