Hideki,
> An important difference from actual game is > the search tree, which is very big in real, long-time setting > game. One possible interpretation is, Zen read in deep and > found the (wrong) seki, which would lead W a sure win and so, > played R18 toward this (again wrong!) winning position. > > Looks like DeepZenGo Team just missed a couple of months (weeks?) to train stronger value network to be able to win the tournament. Michael Redmond 9p said that DeepZen already plays at the top professional level, particularly opening and middle game. Congratulations on today's well-deserved win against Iyama! When would be possible to buy a new DeepZen? Regards, Paweł > Hideki > > Hideki Kato: <58d26196.6952%hideki_ka...@ybb.ne.jp>: > >We have set komi to 5.5 today. This looks worked fine. > > > >The strange yose moves were caused by unknown reason. We are > >seeking the cause(s). Observed fact: The upper left center > >three black stones cannot be captured but Zen looks evaluated > >them as dead. When Zen noticed the truth, horizen effect forced > >several miserable moves in upper side white territory. Then, > >upper left white stones together with many short-liberty stones > >forced the value network misrecognized them as > >living by seki, because the shape looked seki (for VN) and many > >moves were required to capture them in rollout. > > > >Hideki > > > >Pawe Morawiecki: > ><caksbshogyyn8wk2htv0xczavggem4jj-vpsz_fmqqczq7l8...@mail.gmail.com>: > >>> > >>> > >>> RATHER OFTEN the outcome was a score where both sides thought > >>> to have won. In the 5.5/7.5 komi example from Go this means that > >>> outcomes with +6 or +7 points for Black on the board would occur > >>> often. > >>> > >>> > >>It looks like this issue is serious again was a factor in today's game > >>against Park 9p. Zen was winning and in the endgame starts giving away > >>points and the game was reversed. > >>Hideki, was that the case? > >> > >>Too bad it's 6.5 komi as it seems Zen has potential to win both games :-( > >> > >>Regards, > >>Pawel > >> > >> > >> > >> > >>> Of course, this is not welcome for zero-sum games. But it is a hint > >>> that in reallife scenarios (with non-zero-sum payoffs) Monte Carlo > >>> heuristics (with their tendency to produce narrow wi0ns) might be > >>> helpful in finding good compromises. > >>> > >>> Ingo. > >>> _______________________________________________ > >>> Computer-go mailing list > >>> Computer-go@computer-go.org > >>> http://computer-go.org/mailman/listinfo/computer-go > >>---- inline file > >>_______________________________________________ > >>Computer-go mailing list > >>Computer-go@computer-go.org > >>http://computer-go.org/mailman/listinfo/computer-go > >-- > >Hideki Kato <mailto:hideki_ka...@ybb.ne.jp> > >_______________________________________________ > >Computer-go mailing list > >Computer-go@computer-go.org > >http://computer-go.org/mailman/listinfo/computer-go > -- > Hideki Kato <mailto:hideki_ka...@ybb.ne.jp> > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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