The people with stronger programs and more full-board experience will be better
positioned to comment on this. I'll say that the two styles both need a lot of
tweaking, making it hard to establish a fair test between them.
It's good to be able to match a 3x3 pattern very quickly. Since there are
I only use proximity in the search. My playouts are pretty light.
David
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
[EMAIL PROTECTED]
Sent: Monday, July 21, 2008 4:54 PM
To: computer-go@computer-go.org
Subject: Re: [computer-go] Incremental move weights
I use proxim
On Mon, Jul 21, 2008 at 10:41 PM, Jason House
<[EMAIL PROTECTED]> wrote:
> On Jul 21, 2008, at 10:26 PM, "Álvaro Begué" <[EMAIL PROTECTED]> wrote:
>
>> On Mon, Jul 21, 2008 at 7:32 PM, Jason House
>> <[EMAIL PROTECTED]> wrote:
>>>
>>> I'm starting heavy plyouts, with variable move selection weights
On Jul 21, 2008, at 10:26 PM, "Álvaro Begué" <[EMAIL PROTECTED]>
wrote:
On Mon, Jul 21, 2008 at 7:32 PM, Jason House
<[EMAIL PROTECTED]> wrote:
I'm starting heavy plyouts, with variable move selection weights. The
proximity heuristic seems like a performance killer since most
weights would
On Jul 21, 2008, at 10:03 PM, [EMAIL PROTECTED] wrote:
I've tried both MoGo and CrazyStone style playouts. I find MoGo
style playouts easier to work with. YMMV.
Besides ease of implementation, what other trades did you notice
between the two methods? I'd expect Crazy Stone's method to be sl
On Mon, Jul 21, 2008 at 7:32 PM, Jason House
<[EMAIL PROTECTED]> wrote:
> I'm starting heavy plyouts, with variable move selection weights. The
> proximity heuristic seems like a performance killer since most weights would
> require an update with each move.
>
> How do others handle this? Is proxim
I've tried both MoGo and CrazyStone style playouts. I find MoGo style playouts
easier to work with. YMMV.
My MoGo style heavy playouts are about 4 times slower than my light playouts.
- Dave Hillis
-Original Message-
From: Jason House <[EMAIL PROTECTED]>
To: computer-go
Sent: Mon, 21
On Jul 21, 2008, at 7:54 PM, [EMAIL PROTECTED] wrote:
I use proximity in the heavy playouts themselves.
What kind of proximity heuristic do you use? Remí's paper implies a
different weight for many many points on the board. I think MoGo uses
an alternate approach of examining the local ne
I? use proximity in the heavy playouts themselves. I think most (all?)?people
do this.?I have a precalculated table with the 3x3 and 5x5 neighbors for every
position on the board.?
- Dave Hillis
-Original Message-
From: Jason House <[EMAIL PROTECTED]>
To: computer-go
Sent: Mon, 21 Jul
I'm starting heavy plyouts, with variable move selection weights. The
proximity heuristic seems like a performance killer since most weights
would require an update with each move.
How do others handle this? Is proximity reserved for the search tree?
How do others store data for rapid lookup
A while ago someone on this list was asking about places
to publish computer go papers.
I'd invite you all to consider the new journal,
IEEE Transactions on Computational Intelligence and AI
in games.
This will start accepting submissions in August/September
ready for the first i
Pacific time.
We'll do this in the Computer Go room. We'll announce the usernames
when the time comes.
On Jul 21, 2008, at 2:28 PM, Jason House wrote:
1pm in which timezone? Which room & user name(s) will be used on KGS?
Sent from my iPhone
On Jul 21, 2008, at 5:04 PM, Peter Drake <[EMAIL
19x19. There will be a handicap. We're currently planning on five
blitz games to adjust the handicap, then one "real" game.
On Jul 21, 2008, at 2:07 PM, Eric Pettersen wrote:
9x9 or 19x19?
On Jul 21, 2008, at 2:04 PM, Peter Drake wrote:
(This is from the US Go Congress to be held in Portla
1pm in which timezone? Which room & user name(s) will be used on KGS?
Sent from my iPhone
On Jul 21, 2008, at 5:04 PM, Peter Drake <[EMAIL PROTECTED]> wrote:
(This is from the US Go Congress to be held in Portland, Oregon.)
On Thursday, August 7, at 1:00 PM, Kim MyungWan 8p will take on
MoG
Awesome! Now the question I am wondering is how much do these 3000
processors help?
- Don
Peter Drake wrote:
(This is from the US Go Congress to be held in Portland, Oregon.)
On Thursday, August 7, at 1:00 PM, Kim MyungWan 8p will take on MoGo,
the world’s strongest computer Go program
9x9 or 19x19?
On Jul 21, 2008, at 2:04 PM, Peter Drake wrote:
(This is from the US Go Congress to be held in Portland, Oregon.)
On Thursday, August 7, at 1:00 PM, Kim MyungWan 8p will take on
MoGo, the world’s strongest computer Go program. MoGo will connect
remotely from France, where it
(This is from the US Go Congress to be held in Portland, Oregon.)
On Thursday, August 7, at 1:00 PM, Kim MyungWan 8p will take on MoGo,
the world’s strongest computer Go program. MoGo will connect remotely
from France, where it will be running on a supercomputer boasting
over 3,000 processo
Sent from my iPhone
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Álvaro Begué wrote:
On Sun, Jul 20, 2008 at 3:40 AM, Rémi Coulom
<[EMAIL PROTECTED]> wrote:
Rybka 3 has Monte-Carlo evaluation:
http://www.chessbase.com/newsdetail.asp?newsid=4772
If I understand the release note correctly, Monte Carlo Analysis is
something like a feature of the GUI for analy
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