See also: Oriented Response Networks https://arxiv.org/abs/1701.01833
On Wed, Feb 28, 2018 at 11:40 AM, Jonathan Roy wrote:
> I'm curious if anyone has applied this idea in their Go software, and what
> results you obtained? It is a way to make rotations (and transpositions
> with more effort) g
Not according to this: http://eidogo.com/#EUexCx07
via reddit
On Sun, Jan 21, 2018 at 11:54 AM, Jim O'Flaherty wrote:
> So the AI FineArt is assumed to have taken black with a two stone handicap?
>
> On Jan 21, 2018 9:41 AM, "Michael Alford" wrote:
>
>> This is the problem we had with the link
igent. Inevitably, every brute force
algorithm will incorporate intelligent heuristics. Consider the evolution
of minimax, for example, via alpha-beta, selective extensions, LMR, etc.
*From:* Steven Clark [mailto:steven.p.cl...@gmail.com]
*Sent:* Sunday, August 6, 2017 2:52 PM
*To:* Bri
whole board evaluation, but
> that is a separate topic.)
>
>
>
>
>
> *From:* Steven Clark [mailto:steven.p.cl...@gmail.com]
> *Sent:* Sunday, August 6, 2017 1:14 PM
> *To:* Brian Sheppard ; computer-go <
> computer-go@computer-go.org>
> *Subject:* Re: [Com
Why do you say AlphaGo is brute-force? Brute force is defined as: "In
computer science, brute-force search or exhaustive search, also known as
generate and test, is a very general problem-solving technique that
consists of *systematically enumerating all possible candidates* for the
solution and ch
No (have you read any of the papers about it?)
No
We don't know
We don't know (pros used to claim they were 2-3 stones away from God, but
AlphaGo might have encouraged them to be a bit more humble)
On Sun, Aug 6, 2017 at 9:49 AM, Cai Gengyang wrote:
> Is Alphago brute force search?
> Is it possi
My interpretation is that all variations are from AlphaGo, whereas the
human pros are just weighing in on those. Hence you will see the pros
"approve of this variation" or "express doubts" about it.
On Thu, Sep 15, 2016 at 11:04 AM, Darren Cook wrote:
> > DeepMind published AlphaGo's selfplay 3
It's an inherently subjective thought-exercise -- ask 10 different players
and you will get 10 different ideas of what constitutes beauty. I'm not
even sure I agree with the metrics proposed in
http://www.wseas.us/e-library/transactions/computers/2008/26-184.pdf for
chess -- why is it inherently mo
To answer the original question: yes, the curation of a dataset like this
would be hugely beneficial to the community. Look at what ImageNet has done
for computer vision. In fact, it might be good to emulate ImageNet further
and pre-split the dataset into a publicly-available training set, and a
hi
RE: CNNs: They can be, and have been, successfully applied to "movies" as
well. See http://www.cs.cmu.edu/~rahuls/pub/cvpr2014-deepvideo-rahuls.pdf
Also, in the first .pdf I linked you, the input layer has a notion of "age"
of the stones. For example, this stone was played 5 moves ago, this one 3
m
Not sure how deep down the rabbit hole you want to go, but you might want
to take a look at convolutional neural networks and their applicability to
go, e.g.: http://arxiv.org/abs/1412.6564
They are used ubiquitously for image classification and object detection,
but people are looking at tying th
Here are the papers I was thinking of:
http://arxiv.org/abs/1412.6564 (nvidia gtx titan black)
http://arxiv.org/abs/1412.3409 (nvidia gtx 780)
On Fri, Jun 26, 2015 at 2:09 AM, Nikos Papachristou
wrote:
> Not go related, but you may find this deep learning GPU hardware guide
> useful:
> https://
Can't speak to current go programs, but there's lots of exciting stuff
going on currently with machine learning / deep neural networks, most of
which uses GPUs heavily. I know some research has been done on
convolutional neural networks for Go -- don't have any links handy at the
moment though.
Re
We'll be the judges of that nice&elegant bit ;)
I think using the ease of python to get started with algorithms and then
later pushing the performance critical sections to C and wrapping with SWIG
is a great idea.
On 5/25/07, Eduardo Sabbatella <[EMAIL PROTECTED]> wrote:
No, but soon I will pu
For true beginners:
http://playgo.to/interactive/
Janice Kim's 5 book series at http://samarkand.net/
Or play online (KGS has a good english community): http://www.gokgs.com/
On 12/2/06, Mike Olsson <[EMAIL PROTECTED]> wrote:
I am looking for tutorials and articles on the web to learn go. Wo
Computer stupidity? How about how GNUGo has no problem invading under my 4,4
stone, but refuses to invade under my 5,5 stones? I assume this is because
there is a joseki entry for 4,4, but none for 5,5 openings. Attached is a
rather silly game I played against GNUGo exploiting this fact (I will ad
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