[Computer-go] Move Evaluation in Go Using Deep Convolutional Neural Networks

Mark Wagner wagner.mark.d at gmail.com
Sat Dec 20 11:17:52 PST 2014


Thanks for sharing. I'm intrigued by your strategy for integrating
with MCTS. It's clear that latency is a challenge for integration. Do
you have any statistics on how many searches new nodes had been
through by the time the predictor comes back with an estimation? Did
you try any prefetching techniques? Because the CNN will guide much of
the search at the frontier of the tree, prefetching should be
tractable.

Did you do any comparisons between your MCTS with and w/o CNN? That's
the direction that many of us will be attempting over the next few
months it seems :)

- Mark

On Sat, Dec 20, 2014 at 10:43 AM, Álvaro Begué <alvaro.begue at gmail.com> wrote:
> If you start with a 19x19 grid and you take convolutional filters of size
> 5x5 (as an example), you'll end up with a board of size 15x15, because a 5x5
> box can be placed inside a 19x19 board in 15x15 different locations. We can
> get 19x19 outputs if we allow the 5x5 box to be centered on any point, but
> then you need to do multiply by values outside of the original 19x19 board.
> Zero-padding just means you'll use 0 as the value coming from outside the
> board. You can either prepare a 23x23 matrix with two rows of zeros along
> the edges, or you can just keep the 19x19 input and do your math carefully
> so terms outside the board are ignored.
>
>
>
> On Sat, Dec 20, 2014 at 12:01 PM, Detlef Schmicker <ds2 at physik.de> wrote:
>>
>> Hi,
>>
>> I am still fighting with the NN slang, but why do you zero-padd the
>> output (page 3: 4 Architecture & Training)?
>>
>> From all I read up to now, most are zero-padding the input to make the
>> output fit 19x19?!
>>
>> Thanks for the great work
>>
>> Detlef
>>
>> Am Freitag, den 19.12.2014, 23:17 +0000 schrieb Aja Huang:
>> > Hi all,
>> >
>> >
>> > We've just submitted our paper to ICLR. We made the draft available at
>> > http://www.cs.toronto.edu/~cmaddis/pubs/deepgo.pdf
>> >
>> >
>> >
>> > I hope you enjoy our work. Comments and questions are welcome.
>> >
>> >
>> > Regards,
>> > Aja
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>>
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