Re: [Computer-go] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

>I was thinking about this development and what it may mean from the point of view of a more general AI. >I daresay the next experiment would be to have just one neural net playing the >three games, right? >To my understanding we still have three instances of the same *methodology* but not yet a

Re: [Computer-go] Source code (Was: Reducing network size? (Was: AlphaGo Zero))

@Gian-Carlo Pascutto Since training uses a ridiculous amount of computing power i wonder if it would be useful to make certain changes for future research, like training the value head with multiple komi values On 26 October 2017 at 03:02, Brian Sheppard

Re: [Computer-go] AlphaGo rollout nakade patterns?

ake less than 1% of total > time. Any implementation that achieves that goal will make a noticeable > difference to strength. > > > -Original Message- > From: Roel van Engelen <ich.bun...@gmail.com> > To: computer-go <computer-go@computer-go.org> > Sent: Tue, Jan 31,

Re: [Computer-go] AlphaGo rollout nakade patterns?

@Brain Sheppard Thanks that is a really useful explanation! the way you state: "and therefore a 8192-sized pattern set will identify all potential nakade." seems to indicate this is a known pattern set? could i find some more information on it somewhere? also i was unable to find Pebbles, is it

[Computer-go] AlphaGo rollout nakade patterns?

I am trying to re-create the fast rollout policy as described by deepMind but got stuck on the nakade patterns: "Nakade, # of patterns 8192: Move matches a nakade pattern at captured stone" the "at captured stone" confuses me, my first thought is: "this is only computed if stones have been

Re: [Computer-go] Aya reaches pro level on GoQuest 9x9 and 13x13

Hi Detlef My bot is not pro jet but i build gosu games ( similar to waltheri.net ) and i found certain "odd" positions occurring in 200+ games where over 80% of the pro's chooses move A while 90% of the