sorry, but as i don´t receive anything, i don´t know is the list is not active
or if i´m doing something wrong ...___
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2009/9/12 jorge jorge...@terra.es
sorry, but as i don´t receive anything, i don´t know is the list is not
active or if i´m doing something wrong ...
It's fairly active, but you might not get a message every single day.
- Don
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I have ported my go board engine from my laptop to a desktop,
and I wanted to pass on these benchmarks.
Laptop T2300@ 1.67G 533MHz memory - Cygwin/Windows
Desktop 920-i7@ 2.67 G 1066 MHz memory - Ubuntu
After factoring out cpu-speed, my go code runs about 1.25
times as fast on the new processor.
On Sun, Sep 6, 2009 at 1:25 PM, Benjamin Teuberbenjamin.teu...@web.de wrote:
is dynamic komi not also usefull for
- early pass, (only play if a move is better than a pass)
Maybe, as you can define better move by there is a dynkomi x where
one loses while the other wins. But you'd need
Thanks for sharing this Christian,
in my lines comments.
On Sep 9, 2009, at 5:54 PM, Christian Nentwich wrote:
I did quite a bit of testing earlier this year on running playout
algorithms on GPUs. Unfortunately, I am too busy to write up a tech
report on it, but I finally brought myself
On Sep 9, 2009, at 11:57 PM, Christian Nentwich wrote:
Mark,
let me try to add some more context to answer your questions. When
I say in my conclusion that it's not worth it, I mean it's not
worth using the GPU to run playout algorithms of the sort that are
in use today. There may be
On Sep 10, 2009, at 12:55 AM, Michael Williams wrote:
Very interesting stuff. One glimmer of hope is that the memory
situations should improve over time since memory grows but Go
boards stay the same size.
Well you first have to figure out how fast or slow shifting is on the
nvidia's
I now have playouts based on 3x3 pattern weights.
When I tested it on CGOS it seemed to be weaker than my old engine
which used light playouts only. I used a comparable setup, and the elo
difference is about 100 after more than 150 games.
I can also seem some weird RAVE value patterns (not
Same number of playouts? What are your pattern weights? Do they apply
around the last move played or for all board areas?
Sent from my iPhone
On Sep 12, 2009, at 7:18 PM, Isaac Deutsch i...@gmx.ch wrote:
I now have playouts based on 3x3 pattern weights.
When I tested it on CGOS it seemed
50k playouts. they apply globally.
Am 13.09.2009 um 01:22 schrieb Jason House:
Same number of playouts? What are your pattern weights? Do they
apply around the last move played or for all board areas?
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I think most engines that follow the mogo 3x3 pattern design only apply them
locally. That's what I do. I never tried using them globally, so I can't
say what might be wrong. Did you learn weight for every possible pattern
using the crazystone algorithm, or are you just using the basic mogo
Did you learn weight for every possible pattern using the crazystone
algorithm, or are you just using the basic mogo patterns?
No, all 1000 and something weights are learned using the algorithm.
Are you using global patterns as UCT priors, or to choose moves
during playouts? During
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