Hello Yuandong,

thanks for your posting and welcome in the computer-go
mailing list.
I wish you and your team good luck for your further 
attempts with darkfores***. Please, keep playing on KGS.

Ingo.



> Gesendet: Dienstag, 24. November 2015 um 21:45 Uhr
> Von: "Yuandong Tian" <yuandong.t...@gmail.com>
> An: computer-go@computer-go.org
> Betreff: Re: [Computer-go] Facebook Go AI.
>
> Hi all,
> 
> I am the first author of Facebook Go AI. Thanks for your interest! This is
> the first time I post a message here, so please forgive me if I mess up
> with anything.
> 
> 1. The estimation of 1d-2d is based on the win rate of free game in the
> last 3 months (since darkforest launched in Aug). See Table 6 in the paper.
> For ranked game, its rank is definitely lower since people tend to play
> more seriously. It seems that now darkforest is 1k and darkfores1 is 1d.
> 
> 2. Here is the Pachi 10k command line for no pondering.
> pachi -t =10000 threads=8,pondering=0
> 
> For pondering, it is simply
> pachi -t =10000 threads=8
> 
> In both cases, all the spatial patterns are properly loaded. See the
> following GTP response:
> W>> protocol_version
> Random seed: 1448000132
> Loaded spatial dictionary of 1064482 patterns.
> Loaded 3021829 pattern-probability pairs.
> 
> 3. We use pachi version 11.99 as shown in the following GTP response:
> W>> version
> W<< = 11.99 (Genjo-devel): If you believe you have won but I am still
> playing, please help me understand by capturing all dead stones. Anyone can
> send me 'winrate' in private chat to get my assessment of the position.
> Have a nice game!
> 
> 4. Darkfores2 is still DCNN model and no search is involved.
> 
> Thanks! If you have any comments, please let me know.
> 
> ----------------------------
> Yuandong Tian
> Research Scientist,
> Facebook Artificial Intelligence Research (FAIR)
> Website:
> https://research.facebook.com/researchers/1517678171821436/yuandong-tian/
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