although it could be less or more depending on match conditions
>> and what neural net is used and other things. So for LZ at least, "ACT"-like
>> behavior at low visits is not new.
>>
>>
>> On Sun, Jul 19, 2020 at 5:39 AM Kensuke Matsuzaki
>&g
;> Computer-go mailing list
>> Computer-go@computer-go.org
>> http://computer-go.org/mailman/listinfo/computer-go
>
> _______
> Computer-go mailing list
> Computer-go@computer-go.org
> http://computer-go.org/mailman/listinfo/computer-go
--
Kensuk
9/SGF/2020/05/08/998312.sgf
>
> I am not strong enough to appreciate all the subtleties, but the complexity
> looks amazing.
--
Kensuke Matsuzaki
___
Computer-go mailing list
Computer-go@computer-go.org
http://computer-go.org/mailman/listinfo/computer-go
Hi,
> using rollouts to compensate for Leela's network being trained with the
"wrong" komi for this competition:
Yes, and it seems that rollouts isn't useful when trained komi is "correct".
> Our program Natsukaze also used Leela Zero recent 70 selfplay games
to train DNN.
What would happen
Hi,
How do you get the V(s) for those datasets? You play out the endgame
> with the Monte Carlo playouts?
>
Yes, I use result of 100 playout from the endgame.
Sometimes the result stored in sgf differs from result of playouts.
zakki
___
Computer-go mai
Hi,
I couldn't get positive experiment results on Ray.
Rn's network structure of V and W are similar and share parameters,
but only final convolutional layer are different.
I trained Rn's network to minimize MSE of V(s) + W(s).
It uses only KGS and GoGoD data sets, no self play with RL policy.
Wh
