Hi,
I am just trying to reproduce the data from page 7 with all features
disabled. I do not reach the accuracy (I stay below 20%).
Now I wonder about a short statement in the paper, I did not really
understand:
On page 4 top right they state In our experience using the rectifier
function
Hi!
On Wed, Dec 31, 2014 at 11:16:57AM +0100, Detlef Schmicker wrote:
I am just trying to reproduce the data from page 7 with all features
disabled. I do not reach the accuracy (I stay below 20%).
Now I wonder about a short statement in the paper, I did not really
understand:
On page 4
Am 31.12.2014 um 14:05 schrieb Petr Baudis:
Hi!
On Wed, Dec 31, 2014 at 11:16:57AM +0100, Detlef Schmicker wrote:
I am just trying to reproduce the data from page 7 with all features
disabled. I do not reach the accuracy (I stay below 20%).
Now I wonder about a short statement in the
I would very much appreciate an open source implementation of this
- or rather, I'd rather spend my time using one to do interesting things
rather than building one, I do plan to open source my implementation if
I have to make one and can bring myself to build one from scratch...
I started
Hi all,
back in 1998, Martin Mueller had beaten the traditional
(non-Monte-Carlo) Many Faces of Go despite of giving
28 handicap stones on the 19x19 board.
The first bot that is able to achieve the same (before
the end of year 2020), will get 1,000 Euro from my
pocket. For details see:
Sorry for the typo.
back in 1998, Martin Mueller had beaten the traditional
(non-Monte-Carlo) Many Faces of Go despite of giving
28 handicap stones on the 19x19 board.
Of course, Martin won at handicap 29.
Ingo.
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