Dear Alvaro,
Thank you, that alone sped up playouts more than 2 times.
On 5 Apr 2017 6:12 p.m., "Álvaro Begué" wrote:
For identifying points that look like eyes, it's useful to have a 16-bit
value at each position of the board that contains the colors of the 8
neighbors
i just found this:
https://drive.google.com/file/d/0Bx4hafXDDq2EMzRNcy1vSUxtcEk/view
Peter
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Oh, that's unfortunate. When I read the description of what you did, I
thought the whole point of using of a sigmoid in the last stage was
precisely so the ownership map would be reasonably correct.
Your database should still be very useful, but it feels like it should be
much easier for the DCNN
For identifying points that look like eyes, it's useful to have a 16-bit
value at each position of the board that contains the colors of the 8
neighbors (2 bits per neighbor, with an encoding like 00=empty, 01=black,
10=white, 11=outside). You can maintain this incrementally when a point on
the
Hello,
I'm trying to write my own go playing program. Right now it is GnuGo style
program - no dedicated search is performed. It is pleasure to see bot
improving, but recently I decided to learn and implement MCTS, meaning I
have to use my go board implementation often (for playouts).
I see some
Hi Yamashita
Thanks you for uploading them, and explaining how they are organised.
Your contribution is much appreciated!
Lukas
On 4/5/17, Hiroshi Yamashita wrote:
> Hi,
>
> I have uploaded Aya's selfplay games.
> There are about 1,440,000 games.
> Selfplay program strength
Hi,
I have uploaded Aya's selfplay games.
There are about 1,440,000 games.
Selfplay program strength is about KGS 4d and 5d.
Aya's selfplay games for training value network
http://www.yss-aya.com/ayaself/ayaself.html
Using these games, KGS 4d over, tygem 9d, and GoGoD, I made slightly
(+70