Re: [Computer-go] Facebook Go AI

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 Am 06.12.2015 um 16:24 schrieb Petr Baudis: > On Sat, Dec 05, 2015 at 02:47:50PM +0100, Detlef Schmicker wrote: >> I understand the idea, that long term prediction might lead to a >> different optimum (but it should not lead to one with a higher >>

Re: [Computer-go] Facebook Go AI

On Sat, Dec 05, 2015 at 02:47:50PM +0100, Detlef Schmicker wrote: > I understand the idea, that long term prediction might lead to a > different optimum (but it should not lead to one with a higher one > step prediction rate: it might result in a stronger player with the > same prediction rate...)

Re: [Computer-go] Facebook Go AI

> I understand the idea, that long term prediction might lead to a > different optimum (but it should not lead to one with a higher one > step prediction rate: it might result in a stronger player with the > same prediction rate...), and might increase training speed, but hard > facts would be

Re: [Computer-go] Facebook Go AI

On Tue, Nov 24, 2015 at 01:39:00PM +0100, Petr Baudis wrote: > On Mon, Nov 23, 2015 at 10:00:27PM -0800, David Fotland wrote: > > 1 kyu on KGS with no search is pretty impressive. > > But it doesn't correlate very well with the reported results against > Pachi, it seems to me. > > ("Pachi 10k"

Re: [Computer-go] Facebook Go AI.

uot; <yuandong.t...@gmail.com> > An: computer-go@computer-go.org > Betreff: Re: [Computer-go] Facebook Go AI. > > Hi all, > > I am the first author of Facebook Go AI. Thanks for your interest! This is > the first time I post a message here, so please forgive me if I mess up &g

Re: [Computer-go] Facebook Go AI.

Hi all, I am the first author of Facebook Go AI. Thanks for your interest! This is the first time I post a message here, so please forgive me if I mess up with anything. 1. The estimation of 1d-2d is based on the win rate of free game in the last 3 months (since darkforest launched in Aug). See

Re: [Computer-go] Facebook Go AI

Perhaps bots in the style of Darkforest would be good candidates to win the Handicap-29 prize... http://www.althofer.de/handicap-29-prize.html Ingo.   *** Gesendet: Dienstag, 24. November 2015 um 07:00 Uhr Von: "David Fotland"

Re: [Computer-go] Facebook Go AI.

Yamashita - Original Message - From: "Yuandong Tian" <yuandong.t...@gmail.com> To: <computer-go@computer-go.org> Sent: Wednesday, November 25, 2015 5:45 AM Subject: Re: [Computer-go] Facebook Go AI. Hi all, I am the first author of Facebook Go AI. Thanks for your

Re: [Computer-go] Facebook Go AI

On Mon, Nov 23, 2015 at 10:00:27PM -0800, David Fotland wrote: > 1 kyu on KGS with no search is pretty impressive. But it doesn't correlate very well with the reported results against Pachi, it seems to me. ("Pachi 10k" should correspond to ~5s thinking time on 8-thread FX8350.) > Perhaps

Re: [Computer-go] Facebook Go AI

That can happen if the bot has a big (and strange) weak point such as ladder. See attached record. Hideki Petr Baudis: <20151124123900.gm10...@machine.or.cz>: >On Mon, Nov 23, 2015 at 10:00:27PM -0800, David Fotland wrote: >> 1 kyu on KGS with no search is pretty impressive. > >But it doesn't

Re: [Computer-go] Facebook Go AI

If you train your neural network on pro games, pros never play out ladders that end up in capture, so when a ladder situation happens and it gets played out, the running group is always safe. This is not the case always, but you'd need to specifically play out the ladder to check. On

Re: [Computer-go] Facebook Go AI

It is darkforest, indeed: Title: Better Computer Go Player with Neural Network and Long-term Prediction Authors: Yuandong Tian, Yan Zhu Abstract: Competing with top human players in the ancient game of Go has been a long-term goal of artificial intelligence. Go's high branching factor

Re: [Computer-go] Facebook Go AI

1 kyu on KGS with no search is pretty impressive. Perhaps Darkforest2 is too slow. David From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of Andy Sent: Monday, November 23, 2015 9:48 AM To: computer-go Subject: Re: [Computer-go] Facebook Go AI As of about

Re: [Computer-go] Facebook Go AI

The numbers look pretty impressive! So this DNN is as strong as a full-fledged MCTS engine with non-trivial thinking time. The increased supervision is a nice idea, but even barring that this seems like quite a boost to the previously published results? Surprising that this is just thanks to

Re: [Computer-go] Facebook Go AI

So the KGS bots darkforest and darkfores1 play with only DCNN, no MCTS search added? I wish they would put darkfores2 with MCTS on KGS, why not put your strongest bot out there? 2015-11-23 10:38 GMT-06:00 Petr Baudis : > The numbers look pretty impressive! So this DNN is as

Re: [Computer-go] Facebook Go AI

As of about an hour ago darkforest and darkfores1 have started playing rated games on KGS! 2015-11-23 11:28 GMT-06:00 Andy : > So the KGS bots darkforest and darkfores1 play with only DCNN, no MCTS > search added? I wish they would put darkfores2 with MCTS on KGS, why

Re: [Computer-go] Facebook Go AI

15 4:32 AM Subject: Re: [Computer-go] Facebook Go AI I think this Facebook AI may be the program playing on KGS as darkforest and darkfores1. Nick ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go

Re: [Computer-go] Facebook Go AI

Thanks for that observation Nick! For those that don't want to look for themselves: https://www.gokgs.com/gameArchives.jsp?user=darkforest https://www.gokgs.com/gameArchives.jsp?user=darkfores1 >From a quick look it seems like it is winning most of its games, even against 1d/2d players, but

Re: [Computer-go] Facebook Go AI

It loses games to kyu-players because it does not mark their stones as dead at the game end. Some kyu players mark them for it, but others are happy to accept an undeserved win. While it does not mark dead stones, it will not be assigned KGS "rated bot" status, to prevent dishonest players from

Re: [Computer-go] Facebook Go AI

I think this Facebook AI may be the program playing on KGS as darkforest and darkfores1. Nick On 3 November 2015 at 14:28, Petr Baudis wrote: > Hi! > > Facebook is working on a Go AI too, now: > > https://www.facebook.com/Engineering/videos/10153621562717200/ >

Re: [Computer-go] Facebook Go AI

This looks like GnuGo at level 1. Note things like filling at Q15, which GnuGo would not do on level 10 or higher. Cheers, David G Doshay ddos...@mac.com > On 3, Nov 2015, at 8:31 AM, Marc Landgraf wrote: > > then again, Gnugo donked that game pretty badly. >

Re: [Computer-go] Facebook Go AI

Can a strong player look at the video and give impressions about the game? On 11/03/2015 03:28 PM, Petr Baudis wrote: Hi! Facebook is working on a Go AI too, now: https://www.facebook.com/Engineering/videos/10153621562717200/

Re: [Computer-go] Facebook Go AI

then again, Gnugo donked that game pretty badly. Showing one game, where Gnugo just throws away the entire top before move 50 is not really telling about the overall strength, imho. Gnugo repeats the failure by suiciding the top right as well. What is shown after is hard to evaluate, considering

[Computer-go] Facebook Go AI

Hi! Facebook is working on a Go AI too, now: https://www.facebook.com/Engineering/videos/10153621562717200/ https://code.facebook.com/posts/1478523512478471 http://www.wired.com/2015/11/facebook-is-aiming-its-ai-at-go-the-game-no-computer-can-crack/ The way it's