> https://games.slashdot.org/story/17/01/04/2022236/googles-alphago-ai-secretively-won-more-than-50-straight-games-against-worlds-top-go-players
The five Lee Sedol games last year never felt like they were probing
Alpha Go's potential weaknesses. E.g. things like whole board semeai,
complex whole
re this work.
> >> I can offer Aya, it is not open-source though. Maybe
> Ray(strongest open
> >> source so far) is better choice.
> >>
> >> Thanks,
> >> Hiroshi Yamashita
> >>
> >> - Original Messa
Hiroshi Yamashita
- Original Message -
From: "Andy" <andy.olsen...@gmail.com>
To: "computer-go" <computer-go@computer-go.org>
Sent: Friday, January 06, 2017 11:48 PM
Subject: Re: [Computer-go] it's alphago
What is Ray? Strongest ope
).
Hiroshi Yamashita
- Original Message -
From: "Detlef Schmicker" <d...@physik.de>
To: <computer-go@computer-go.org>
Sent: Friday, January 06, 2017 7:20 PM
Subject: Re: [Computer-go] it's alphago (How to get a strong value network)
Hi,
this sounds interesting! Al
I don't know when the progress will stop by this loop.
>>> >> But if once strong enough selfplay games are published, everyone can
>>> make
>>> >> pro level program.
>>> >> 30 million is big number. It needs many computers.
>>> >&
I can offer Aya, it is not open-source though. Maybe Ray(strongest open
>> >> source so far) is better choice.
>> >>
>> >> Thanks,
>> >> Hiroshi Yamashita
>> >>
>> >> - Original Message - From: <fotl...@smart-game
n offer Aya, it is not open-source though. Maybe Ray(strongest open
> >> source so far) is better choice.
> >>
> >> Thanks,
> >> Hiroshi Yamashita
> >>
> >> - Original Message - From: <fotl...@smart-games.com>
> >> T
;
>> - Original Message ----- From: <fotl...@smart-games.com>
>> To: <computer-go@computer-go.org>
>> Sent: Friday, January 06, 2017 4:50 PM
>> Subject: Re: [Computer-go] it's alphago
>>
>>
>> Competitive with Alpha-go, one developer, not possible
.@smart-games.com>
> To: <computer-go@computer-go.org>
> Sent: Friday, January 06, 2017 4:50 PM
> Subject: Re: [Computer-go] it's alphago
>
>
> Competitive with Alpha-go, one developer, not possible. I do think it is
> possible to make a pro level program with one
.@smart-games.com>
> To: <computer-go@computer-go.org>
> Sent: Friday, January 06, 2017 4:50 PM
> Subject: Re: [Computer-go] it's alphago
>
>
> Competitive with Alpha-go, one developer, not possible. I do think it is
> possible to make a pro level program with one
ough. Maybe Ray(strongest open
> source so far) is better choice.
>
> Thanks,
> Hiroshi Yamashita
>
> - Original Message - From: <fotl...@smart-games.com>
> To: <computer-go@computer-go.org>
> Sent: Friday, January 06, 2017 4:50 PM
> Subject
-boun...@computer-go.org] On Behalf Of
Adrian Petrescu
Sent: Thursday, January 5, 2017 10:36 AM
To: computer-go@computer-go.org
Subject: Re: [Computer-go] it's alphago
As an individual? Probably, yes.
On Thu, Jan 5, 2017 at 1:34 PM, Xavier Combelle <xavier.combe...@gmail.
Hello,
On 2017/01/06 3:34, Xavier Combelle wrote:
>> Honestly I got a little frustrated that many people didn't think that
>> was AlphaGo. It was almost clear to me because I know the difficulty of
>> developing AlphaGo-like bots.
> thanks for this insight, if I understand well developing a bot
>
The sheer amount of processing power required is kinda frustrating..
Not able to use my computer for a whole month in order to train knowing
it is only 1/100th the training time AlphaGo was trained with..
Yet it is extremely satisfying to see it grow stronger and surpass oneself..
I hope at some
I mean as a company too, until this point none has succeed
Le 05/01/2017 à 19:35, Adrian Petrescu a écrit :
> As an individual? Probably, yes.
>
> On Thu, Jan 5, 2017 at 1:34 PM, Xavier Combelle
> > wrote:
>
>
>
> Le 05/01/2017 à
It helps a lot if you have to do it as a job, as a paid researcher. I once
tried it as a volunteer job for a company I worked for at the time, but we
only got the basic infrastructure going, after half a year of work, with
two people.
We were trying a neural network approach, while everybody said
Le 05/01/2017 à 02:16, Yamato a écrit :
> Yes, it is AlphaGo. I am relieved that DeepMind clarified this.
>
> Honestly I got a little frustrated that many people didn't think that
> was AlphaGo. It was almost clear to me because I know the difficulty of
> developing AlphaGo-like bots.
thanks for
It's one thing to know the recipe; it's another to have an industrial-size
kitchen. Google was able to throw truly gargantuan amounts of computing
resources at this problem.
A few years back, a researcher - was it Remi Coulon? - was able to scrounge a
few thousand cores for a tournament.
> Honestly I got a little frustrated that many people didn't think that
> was AlphaGo. It was almost clear to me because I know the difficulty of
> developing AlphaGo-like bots.
>
I feel with you. People seem to think that the Nature paper gave away the
full recipe.
Yes, it is AlphaGo. I am relieved that DeepMind clarified this.
Honestly I got a little frustrated that many people didn't think that
was AlphaGo. It was almost clear to me because I know the difficulty of
developing AlphaGo-like bots.
I hope Aja can comment here, also about GodMoves :)
Yamato
https://games.slashdot.org/story/17/01/04/2022236/googles-alphago-ai-secretively-won-more-than-50-straight-games-against-worlds-top-go-players
--
Honesty is a very expensive gift. So, don't expect it from cheap people -
Warren Buffett
http://tayek.com/
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