Nick Wedd wrote:
I suggest that instead of getting your neural players to play Go, you
get them to play a very slightly different game, in which, when both
players pass in turn, all stones remaining on the board are deemed
alive. It is not difficult to write a scoring algorithm for this game.
On Sun, Jan 11, 2009 at 01:24:32PM +, Nick Wedd wrote:
I suggest that instead of getting your neural players to play Go, you get
them to play a very slightly different game, in which, when both players
pass in turn, all stones remaining on the board are deemed alive. It is
not
: [computer-go] Black/White winning rates with random playout?
Hello everyone,
I am trying to do some genetic experiment with virtual go players I programmed
using basic neuronal network technology. The principle is to test my randomly
mutated players against each other and to kill the losers. I have
In message 87bb3fc30901101301tad289d8g1d7cd7e14b731...@mail.gmail.com,
Ernest Galbrun ernest.galb...@gmail.com writes
Hello everyone,
I am trying to do some genetic experiment with virtual go players I
programmed using basic neuronal network technology. The principle is to
test my randomly
Le jeudi 8 janvier 2009, Nuno Milheiro a écrit :
It seems normal to me, Blac is only one play ahead, which value is several
points (probably 7,5 hence the komi value) given intelligent play, given
random play the value of one more move may be only one point.
You should try with more komi
Hello everyone,
I am trying to do some genetic experiment with virtual go players I
programmed using basic neuronal network technology. The principle is to test
my randomly mutated players against each other and to kill the losers. I
have used Opengo library to make my players play against each
Hi,
What's an usual winning rate for black/white from an empty 9x9 board, black
playing first, 7.5 komi? I play 50k games when starting my program, and I
usually get around 60% winning rate for white. This seems rather high to me,
and I suspect a bug somewhere. Do you have any data I could
On Thu, 2009-01-08 at 19:27 +0100, i...@gmx.ch wrote:
Hi,
What's an usual winning rate for black/white from an empty 9x9 board, black
playing first, 7.5 komi? I play 50k games when starting my program, and I
usually get around 60% winning rate for white. This seems rather high to me,
and
It seems normal to me, Blac is only one play ahead, which value is several
points (probably 7,5 hence the komi value) given intelligent play, given
random play the value of one more move may be only one point.
You should try with more komi value to see which is the fair komi value for
random play
Sounds about right. Looking at my notes, I have 57% wins for white using
similar playout?rules.
- Dave Hillis
-Original Message-
From: Don Dailey dailey@gmail.com
To: computer-go computer-go@computer-go.org
Sent: Thu, 8 Jan 2009 1:38 pm
Subject: Re: [computer-go] Black/White
I ran some tests with 500k games each and came to this result:
with komi 0.5, white has 47.5 winn. perc.
with komi 1.5, white has 50.7 winn. perc.
with komi 2.5, white has 50.9 winn. perc.
with komi 3.5, white has 54.0 winn. perc.
with komi 4.5, white has 53.8 winn. perc. -- ?
with komi
You won't get any playouts whose outcome is even, so 3.5 and 4.5 are
effectively the same komi in this experiment (it would be different if
seki were possible, but naive playouts don't result in seki).
Your results seem very plausible to me.
Álvaro.
On Thu, Jan 8, 2009 at 1:59 PM, Isaac
Isaac Deutsch wrote:
I ran some tests with 500k games each and came to this result:
with komi 0.5, white has 47.5 winn. perc.
with komi 1.5, white has 50.7 winn. perc.
with komi 2.5, white has 50.9 winn. perc.
with komi 3.5, white has 54.0 winn. perc.
with komi 4.5, white has 53.8 winn. perc.
I don't know the answer, but it's not too surprising - with random play
the komi should be something like 2 or 3, so white with 7.5 komi has a
pretty good advantage. This advantage disappears (or almost
disappears) if the games are well played, but in your case they are
not.
I think
Nuno Milheiro wrote:
Given random play, komi value does not change play, so we could see
what is the mean score (no komi) instead of playing games at different
komis. But in this case we should not see those 2 exceptions.
Or else I'm wrong somewhere on my assumption.
You are wrong two ways.
. (That would
save time.) But you can't use the mean for that purpose.
- Dave Hillis
-Original Message-
From: Nuno Milheiro nunomilhe...@gmail.com
To: computer-go computer-go@computer-go.org
Sent: Thu, 8 Jan 2009 2:14 pm
Subject: Re: [computer-go] Black/White winning rates with random playout
On Thu, 2009-01-08 at 20:29 +0100, Olivier Teytaud wrote:
I don't know the answer, but it's not too surprising - with
random play
the komi should be something like 2 or 3, so white with 7.5
komi has a
pretty good advantage. This advantage
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