On Sat, Dec 20, 2014 at 12:17 AM, Aja Huang <[email protected]> wrote:
> We've just submitted our paper to ICLR. We made the draft available at
> http://www.cs.toronto.edu/~cmaddis/pubs/deepgo.pdf

Hi Aja,

Wow, very impressive. In fact so impressive, it seems a bit
suspicious(*)... If this is real then one might wonder what it means
about the game. Can it really be that simple? I always thought that
even with perfect knowledge there should usually still be a fairly
broad set of equal-valued moves. Are we perhaps seeing that most of
the time players just reproduce the same patterns over and over again?

Do I understand correctly that your representation encodes the
location of the last 5 moves? If so, do you have an idea how much
extra performance that provides compared to only the last or not using
it at all?

Thanks for sharing the paper!

Best,
Erik


* I'd really like to see some test results on pro games that are newer
than any of your training data.
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