His paper is also interesting.
Abakus got +130 Elo by online learning.
Adaptive Playouts in Monte Carlo Tree Search with Policy Gradient Reinforcement
Learning
https://www.conftool.net/acg2015/index.php?page=browseSessions&path=adminSessions&print=export&mode=list&presentations=show
Regards,
Hi
One list of go specific papers can be found here:
http://www.citeulike.org/group/5884/library
Of course you will also need tools for writing software.
On 26-Sep-15 16:24, Gonçalo Mendes Ferreira wrote:
http://senseis.xmp.net/?ComputerGo
On 26/09/2015 16:23, Cai Gengyang wrote:
Hello Compute
2015-09-26 2:48 GMT+01:00 Hideki Kato :
> Aja Huang: <
> calqb9_kdkgkxsvrjksjmnvywe3tpjw1ct_n-tpjt_sdmmit...@mail.gmail.com>:
> >Congrats to Abakus. Does anyone know who is Abakus` author?
>
> Tobias Graf is the author.
> See http://www.computer-go.info/db/operson.php?a=Graf%2C+Tobias
I see, tha
http://senseis.xmp.net/?ComputerGo
On 26/09/2015 16:23, Cai Gengyang wrote:
Hello Computer-Go members,
So I am back and ready to get started with building a Go AI Machine. I am
genuinely quite intrigued by the potential impact of AI on Go and also
other applications ... Where / How do i start
Hello Computer-Go members,
So I am back and ready to get started with building a Go AI Machine. I am
genuinely quite intrigued by the potential impact of AI on Go and also
other applications ... Where / How do i start learning how to build this?
Thanks a lot !
Gengyang