Hi Hendrik,
I am interested and looking forward to read your paper about the
"opening+joseki book".
Aja
----- Original Message -----
From: "Hendrik Baier" <[email protected]>
To: <[email protected]>
Sent: Tuesday, July 12, 2011 5:47 AM
Subject: Re: [Computer-go] Computer-go Digest, Vol 18, Issue 29
>On 19x19, Many Faces has books. A full board opening book made from
>strong
player games is a hash of all positions (rotation/refection invariant).
It
keeps statistics of player strength and win rate, and is only used to bias
the search, not to choose a move quickly.
That's what I re-invented recently, and I combined it with a joseki book
made from strong player games as well. Both books just recommend a bunch
of moves, the appropriate choice is left to the search algorithm. Because
I don't return a move instantly without search, I call it "active book
application".
So far (without any kind of parameter tuning or manual changes to the
book) it increased Orego's win rate against GNUGo by 4-5 percent, with 10
seconds per move. I wonder if the effect would be stronger or weaker for a
stronger program - it's more difficult to improve a stronger program of
course, but it might also understand some of the openings better and make
better use of them.
A clean, hand-coded book of joseki might be very strong in this framework,
but I don't have the time.
Thanks everybody for your answers. I might post a short paper about this
soon if people are interested.
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