That looks very interesting. Looking forward to some implementation of this filtering down to the common ML libs.
On Mon, Mar 19, 2018 at 2:39 PM, Stefan Kaitschick <skaitsch...@gmail.com> wrote: > Is this something LeelaZero might consider using? > https://arxiv.org/pdf/1803.05407.pdf > The last diagram is looking very impressive. It's not a game playing > domain, but still. > Maybe this averaging technique could help reduce the gap for a > (relatively) low resource project like Leela. > > > On Wed, Jan 10, 2018 at 12:28 AM, uurtamo . <uurt...@gmail.com> wrote: > >> 4dan? >> >> On Jan 9, 2018 3:26 PM, "mic" <michael....@gmx.de> wrote: >> >>> Thank you very much. >>> >>> It will play on DGS as LeelaZero19 (without GPU support). I will start >>> this night with an unrated test game against FuegoBot, one minute thinking >>> time each. Then I will give it a rank, so it can get stronger by the time. >>> >>> Leela 0.11.0 (on DGS as LeelaBot19) has meanwhile reached a weak 4 dan >>> rank, also without GPU support. >>> >>> -Michael. >>> >>> --- >>> Diese E-Mail wurde von Avast Antivirus-Software auf Viren geprüft. >>> https://www.avast.com/antivirus >>> >>> _______________________________________________ >>> 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 mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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