It would be interesting to see the actual formulas used for choosing the more
to try in the tree part of the search.
For Many Faces, it is:
(1 – beta) * (win_rate + 0.45 * sqrt( ln(parent_visits) / child visits)) +
beta * rave_win_rate + mfgo_bias
beta is the old Mogo formula of sqrt(500/(500 + 3 * parent_visits))
A child with no visits has a win_rate of 1.1. Otherwise there is no win_rate
rave wins and visits are strongly biased when moves are generated using various
rules and information from the mfgo move generator (in a range of 10% to 90%
win rate, with hundreds to thousands of visits).
mfgo_bias is unchanging, per move, within a range of about +-2%, based on
mfgo’s move generator’s estimate of the quality of the move.
Does anyone else want to share?
From: computer-go-boun...@dvandva.org [mailto:computer-go-boun...@dvandva.org]
On Behalf Of Fuming Wang
Sent: Saturday, January 01, 2011 9:00 AM
To: Aja; email@example.com
Subject: Re: [Computer-go] Fwd: News on Tromp-Cook ?
On Sun, Jan 2, 2011 at 12:16 AM, Aja <ajahu...@gmail.com> wrote:
Most of the current strong programs are using UCT combined with RAVE (a kind of
AMAF). The formula is like this (there are many variants),
This has been my understanding. However, I am surprized to find out that people
have been setting C close to one, according to Petr and Oliver's postings,
which is essentially AMAF. MF apparently is doing something different.
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