Re: [Computer-go] Learning from CGOS

In which langage will it be ? 2015-03-28 23:58 GMT+01:00 Joshua Shriver jshri...@gmail.com: What elements did you like about CGOS and what do you wish for? I've begun writing a new version from scratch that isn't TCL based. With the aim for future use and also open source and open to public

Re: [Computer-go] Go AI

Thanks a lot looks like a good overview of go and computer go (I only read the transcript because the video don't work on my noflash system) 2015-02-25 0:28 GMT+01:00 Michael Alford m...@aracnet.com: Apology, forgot the link: http://blog.fogcreek.com/go-and-artificial-intelligence-tech-talk/

Re: [Computer-go] [ANN] Michi - 15x15 ~6k KGS in 540 lines of Python code

very nice job 2015-03-25 16:36 GMT+01:00 Petr Baudis pa...@ucw.cz: Hi! So what's the strongest program you can make with minimum effort and code size while keeping maximum clarity? Chess programers were exploring this for long time, e.g. with Sunfish, and that inspired me to try out

Re: [Computer-go] gtp question for topological go program

It's not clear why you would want that your engine have control on communication. Can you explain your use case ? 2015-06-08 7:28 GMT+02:00 Ray Tayek rta...@ca.rr.com: hi, still implementing gtp for my topological go program. it sorta works with gogui. looking at the gnugo implementation, it

Re: [Computer-go] EGC2015 Events

Just curious, why in the statistics it is mentioned 1475 players and in the list only 602. Does the list mention only players having playing recently ? 2015-07-29 21:32 GMT+02:00 Rémi Coulom remi.cou...@free.fr: Lee Hajin is also quite a bit weaker than Yoda Norimoto or Cho Chikun. BTW,

Re: [Computer-go] Hex is solved ?

I allowed my self to remove the link from the wikipedia page as non pair reviewed 2015-07-29 15:53 GMT+02:00 Ingo Althöfer 3-hirn-ver...@gmx.de: Hi Rèmi, gorget it - no serious work. Ingo. Gesendet: Dienstag, 28. Juli 2015 um 15:38 Uhr Von: Rémi Coulom remi.cou...@free.fr An:

Re: [Computer-go] Congratulations to Zen!

the link is wrong but the label is correct it is indeed http://www.weddslist.com/kgs/past/115/index.html http://www.weddslist.com/kgs/past/114/index.html 2015-08-10 19:29 GMT+02:00 Nick Wedd mapr...@gmail.com: Congratulations to Zen19X, winner of yesterday's 13x13 KGS bot tournament, with 17

Re: [Computer-go] CGT in Clobber ?!

I wonder what was the algorithm for your first bot. Alpha Beta ? 2015-07-14 9:45 GMT+02:00 Ingo Althöfer 3-hirn-ver...@gmx.de: Hello Josef, hello all, Josef Moudrik j.moud...@gmail.com ... As far as I know, combinatorial game theory is not used in modern Go engines, despite its nice

Re: [Computer-go] Neural Network Chess Computer Abandons Brute Force For "Human" Approach

I found interesting the concept of Probability limited search 2015-09-15 2:58 GMT+02:00 Ray Tayek : > > http://games.slashdot.org/story/15/09/14/219/neural-network-chess-computer-abandons-brute-force-for-human-approach > > Posted by samzenpus on

Re: [Computer-go] How to only play games with correct handicap on KGS?

If you refuse the handicap, the games will be *without* handicap not *with correct* handicap 2015-10-01 19:13 GMT+02:00 Gonçalo Mendes Ferreira : > I'm not sure but try removing the free handicap placement commands from > the list of supported commands, returned by the command

Re: [Computer-go] PhD thesis on MCTS

Thanks, it was nice. I have a question did you tried to implement Nested montecarlo tree search in two player game ? If I remembered well something like this was envisioned in this mailing list. 2015-12-30 13:29 GMT+01:00 Hendrik Baier : > Hello list, > > I recently

Re: [Computer-go] DarkForest is open-source now.

for me it's clearly GPL violation 2016-06-10 22:17 GMT+02:00 Darren Cook : > >> At 5d KGS, is this the world's strongest MIT/BSD licensed program? ... > >> actually, is there any other MIT/BSD go program out there? (I thought > >> Pachi was, but it is GPLv2) > > > > Huh, that's

Re: [Computer-go] KGS 8-dan and strong opponents

I must say Zen19A has a very nice play style 2016-06-21 10:38 GMT+02:00 Hideki Kato : > Dear Ingo and others, > > I'd like to note that Zen19A limits the handicap upto 4 stones > instead of usual 6. This is the reason the account is not Zen19 > but Zen19A. #It's weill

Re: [Computer-go] Game Over

here a comment by Antti Törmänen http://gooften.net/2016/01/28/the-future-is-here-a-professional-level-go-ai/ 2016-01-28 11:19 GMT+01:00 Darren Cook : > > If you want to view them in the browser, I've also put them on my blog: > > >

Re: [Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search

2016-02-01 12:24 GMT+01:00 Olivier Teytaud : > If AlphaGo had lost at least one game, I'd understand how people can have > an upper bound on its level, but with 5-0 (except for Blitz) it's hard to > have an upper bound on his level. After all, AlphaGo might just have played > well

[Computer-go] A proposition to improve neural network based on min max

I had got an idea but I don't think I'm strong enough programmer to implement it. (In particular I know quite nothing about neural network) So I submit it here. If we have a neural network which is able to evaluate all the positions of a board. The following might help to improve it. >From a

Re: [Computer-go] AlphaGo won first game!

Congrats to Aja and alphago team 2016-03-09 8:43 GMT+01:00 Hiroshi Yamashita : > AlphaGo won 1st game against Lee Sedol! > > Hiroshi Yamashita > > ___ > Computer-go mailing list > Computer-go@computer-go.org >

Re: [Computer-go] AlphaGo won first game!

This comment should be very good, it was done by a 9 dan pro, the top rank in go. 2016-03-09 9:27 GMT+01:00 Sergey Nikolenko : > Everybody here probably knows it, but just in case -- there's a > commented broadcast uploaded here: >

Re: [Computer-go] computergo.org

2016-03-17 16:16 GMT+01:00 Joshua Shriver : > Does anyone have interest in that domain name? I'd be willing to > transfer it to a new owner for free. It came up a year or so back and > I grabbed it just in case but never used it. > > Rather see it go to someone who can use it

[Computer-go] deep mind has moved to tensorflow. Wonder if alphago has moved.

Reed on google blog that deepmind is moving to tensorflow. I really would like to know if alphago has migrated too. I know that Aja Huang read this mailing list, so maybe he has an answer. ___ Computer-go mailing list Computer-go@computer-go.org

Re: [Computer-go] Hajin Lee will play a live commented game against CrazyStone

That's fantastic I suppose crazystone will play with crazystone account, but what will be her handle ? 2016-05-16 9:50 GMT+02:00 Rémi Coulom : > Hi, > > I am very happy to announce that Hajin Lee will play a live commented game > against Crazy Stone on Sunday, at 8PM Korean

Re: [Computer-go] McMahon tournaments on KGS

According to https://www.gokgs.com/help/_fr_FR/tournMcMahon.html McMahon avoid high handicap. You could also setup a swiss with handicap tournament 2016-05-18 18:06 GMT+02:00 Nick Wedd : > I had been persuaded, by postings to this list, to run the monthly KGS bot >

Re: [Computer-go] McMahon tournaments on KGS

AFter watching that it was a 13x13 tournament I would say that the more probable is that KGS don't know how to handle handicap tournament with small board 2016-05-18 18:30 GMT+02:00 Xavier Combelle <xavier.combe...@gmail.com>: > According to https://www.gokgs.com/help/_fr_FR/tournMcM

Re: [Computer-go] BetaGo?

I can confirm that github project and kgs bot are different according to the github project owner see https://www.reddit.com/r/baduk/comments/4ew30e/betago_create_your_own_go_bot_using_deep_neural/d2471hf 2016-04-19 17:11 GMT+02:00 Rémi Coulom : > Anybody knows who is the

Re: [Computer-go] Congratulations to Zen!

at looks like Czech, and my crosstable-building > script won't understand them. > > Nick > > On 8 August 2016 at 23:48, Xavier Combelle <xavier.combe...@gmail.com> > wrote: > >> Is it volunteer that there is no cross table for open division ? If I >> understand

Re: [Computer-go] Congratulations to Zen!

Is it volunteer that there is no cross table for open division ? If I understand well there is only two bot on it. 2016-08-08 13:59 GMT+02:00 Nick Wedd : > Congratulations to Zen19X, winner of yesterdays's KGS bot tournament! > > My report, at

Re: [Computer-go] Will Ke Jie

It is a rumor. https://www.reddit.com/r/baduk/comments/5rtgv3/ke_jie_and_chinese_go_association_deny_recent/ There is probably négociations Le 6 févr. 2017 14:40, a écrit : Is it a rumor or will ke Jie play Alpha-Go in April?

Re: [Computer-go] ADMIN: Lists Have Moved

Strangely enougth I received all the said messages Le 23/01/2017 à 06:20, "Ingo Althöfer" a écrit : > ... and also not my own one from 2 minutes ago. > I can only look it up in the archives. > > Strange. > > Ingo. > > >> Gesendet: Montag, 23. Januar 2017 um 02:37 Uhr >> Von:

Re: [Computer-go] I can't send messages to the list any more

Not with the free.fr address Le 12 févr. 2017 11:21, "Lukas van de Wiel" a écrit : > Well, Remi. > > Obviously, you still can, somehow. > > Lukas > > On Sun, Feb 12, 2017 at 10:18 AM, Rémi Coulom > wrote: > >> :

[Computer-go] do you know King of Tsumego: Panda Sensei on android

Hi ! Do you know King of Tsumego: Panda Sensei on android https://play.google.com/store/apps/details?id=pandanet.tsumego=fr It seem that he won against the best go players during the pair go championship

Re: [Computer-go] do you know King of Tsumego: Panda Sensei on android

Le 26/10/2016 à 19:42, David Ongaro a écrit : > >> On Oct 26, 2016, at 9:32 AM, Xavier Combelle >> <xavier.combe...@gmail.com <mailto:xavier.combe...@gmail.com>> wrote: >> >> but it seems to me there is a problem in this variation proposed by >> Hayl

Re: [Computer-go] do you know King of Tsumego: Panda Sensei on android

Le 26/10/2016 à 20:41, David Ongaro a écrit : > >> On Oct 26, 2016, at 11:07 AM, Xavier Combelle >> <xavier.combe...@gmail.com <mailto:xavier.combe...@gmail.com>> wrote: >> >> Le 26/10/2016 à 19:42, David Ongaro a écrit : >> >>

Re: [Computer-go] Deep Zen vs Cho Chikun -- Round 3

Hi Hideki Sorry in kgs, the game has no result in kgs, did it ended with pro resignation ? Le 23/11/2016 à 23:03, Hideki Kato a écrit : > Thanks David. > > It's now. > > In the same afternoon, Zen vs Yonil Ha 6p was played on KGS as a part > of Neyagawa Igo Shogi Festival in Neyagawa city,

Re: [Computer-go] Deep Zen vs Cho Chikun -- Round 3

thanks a lot Le 24/11/2016 à 12:31, Hideki Kato a écrit : > Ah, yes. Maybe he didn't push "resign". > > Hideki > > Xavier Combelle: <1d25b061-1f25-497e-c270-ee2040602...@gmail.com>: >> Hi Hideki >> Sorry in kgs, the game has no result in kgs, did it

Re: [Computer-go] Training the value network (a possibly more efficient approach)

Le 11/01/2017 à 16:14, Bo Peng a écrit : > Hi, > >> How do you get the V(s) for those datasets? You play out the endgame >> with the Monte Carlo playouts? >> >> I think one problem with this approach is that errors in the data for >> V(s) directly correlate to errors in MC playouts. So a large

Re: [Computer-go] Computer Go Journal

I'm interested, What would be approx the mailing cost to send to France ? Le 13/01/2017 à 11:32, Nick Wedd a écrit : > I have a partial run of Computer Go", issues 3-16, dated 1987-1991; > also some duplicates. Is this of any interest to anyone? I live in > England, and will send it to anyone

Re: [Computer-go] Computer Go Journal

No problem Le 13/01/2017 à 13:34, Nick Wedd a écrit : > Hi Xavier, > > I'm sorry, I've just sent it to someone else. > > Nick > > On 13 January 2017 at 12:18, Xavier Combelle > <xavier.combe...@gmail.com <mailto:xavier.combe...@gmail.com>> wrote: > >

Re: [Computer-go] Training the value network (a possibly more efficient approach)

the author to sign it and give me their public key. Xavier Combelle Le 12/01/2017 à 11:04, Gian-Carlo Pascutto a écrit : > On 11-01-17 18:09, Xavier Combelle wrote: >> Of course it means distribute at least the binary so, or the source, >> so proprietary software could be rel

Re: [Computer-go] it's alphago

I mean as a company too, until this point none has succeed Le 05/01/2017 à 19:35, Adrian Petrescu a écrit : > As an individual? Probably, yes. > > On Thu, Jan 5, 2017 at 1:34 PM, Xavier Combelle > <xavier.combe...@gmail.com <mailto:xavier.combe...@gmail.com>> wrote: >

Re: [Computer-go] it's alphago

Le 05/01/2017 à 02:16, Yamato a écrit : > Yes, it is AlphaGo. I am relieved that DeepMind clarified this. > > Honestly I got a little frustrated that many people didn't think that > was AlphaGo. It was almost clear to me because I know the difficulty of > developing AlphaGo-like bots. thanks for

Re: [Computer-go] it's alphago

To my knowledge, fishtest is also a major part of stockfish engine. It is essential because there is lot of possible improvement and most of them win only 2 or 3 elo points, but added, it lead to 60-70 elo points between each release (every one year or something like that) Le 06/01/2017 à 17:22,

Re: [Computer-go] Our Silicon Overlord

Le 05/01/2017 à 07:37, Robert Jasiek a écrit : > On 04.01.2017 22:08, "Ingo Althöfer" wrote: >> humanity's last hope > > The "last hope" are theoreticians creating arcane positions far > outside the NN of AlphaGo so that its deep reading would be > insufficient compensation! Another chance is

Re: [Computer-go] Our Silicon Overlord

works. > > Nick > > On 7 January 2017 at 21:24, Xavier Combelle <xavier.combe...@gmail.com > <mailto:xavier.combe...@gmail.com>> wrote: > > > > ...this is a major objective. E.g., we do not want AI driven cars > > working right most of the time

Re: [Computer-go] Our Silicon Overlord

: you can improve your chances > by making yourself more visible, do not jump from beyond obstacles, be > more careful when crossing or not crossing before they actually stop. A > failure in an AI car seems much more unpredictable. > > Gonçalo > > On 07/01/2017 21:24, Xavier Combelle

Re: [Computer-go] Our Silicon Overlord

> ...this is a major objective. E.g., we do not want AI driven cars > working right most of the time but sometimes killing people because > the AI faces situations (such as a local sand storm or a painting on > the street with a fake landscape or fake human being) outside its > current training

Re: [Computer-go] NATURE: Top 10 people 2016

It's pretty ironic that they put in the list the funder of scihub and that in the same time have a firm policy of paywalling everything for example by putting pressure on deepmind to drawback their preprint from alphago website. I suppose that they did have really no other choice. Le 19/12/2016

Re: [Computer-go] Congratulations to Zen19X!

Thanks a lot for your work on this report and all your work for computer go in general Le 16 mars 2017 12:55, "Nick Wedd" a écrit : > Congratulations to Zen19X, winner of the Spring Slow KGS bot tournament! > > My report is now at

Re: [Computer-go] AlphaGo and Perfect Play

According to what happen in chess and according to the tee size of go game I would say that astronomically far from perfect play is an astronomical understatement. Le 17 août 2017 07:17, "Cai Gengyang" a écrit : Does anyone here know how far AlphaGo is away from perfect

Re: [Computer-go] Ke Jie vs. AlphaGo match

Is it japanese tome zone? Le 19 mai 2017 05:41, "Hiroshi Yamashita" a écrit : Hi, It will be played in a week. But there are few information about this. Is there YouTube live available? I found a schedule in Panda-net site. Ke Jie vs. AlphaGo (3 hours + 1 minute x5)

Re: [Computer-go] DeepMind's Victory over Ke Jie

Le 7 juin 2017 22:21, "Cai Gengyang" a écrit : Hi guys, Just a couple of questions : 1) Is it true that DeepMind's comprehensive victory over Ke Jie means that essentially it is proven to be true that AI has definitely triumphed over humanity ? I would say together

Re: [Computer-go] How to register an account on cgos?

If I remember correctly the first connection with a password is a registration. Le 27 sept. 2017 07:40, "James Guo via Computer-go" < computer-go@computer-go.org> a écrit : > Try to do some test on cgos, but failed to find the page(way) to register > an account. > >

Re: [Computer-go] AlphaGo Zero

They are 80 games of different version of alphago and 3 of alphago against same version of alphago in supplementary data of https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html#supplementary-information Le 18/10/2017 à 20:29, Richard Lorentz a écrit : > Wow! That's very

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

nage such situations. Xavier Combelle Le 23/10/2017 à 16:35, Robert Jasiek a écrit : > On 23.10.2017 14:05, Jim O'Flaherty wrote: >> Couldn't they be useful as part of a set of training data for newly >> trained >> engines and networks? > > All the millions of games would b

Re: [Computer-go] Nochi: Slightly successful AlphaGo Zero replication

You make me really curious, what is a Keras model ? Le 10/11/2017 à 01:47, Petr Baudis a écrit : > Hi, > > I got first *somewhat* positive results in my attempt to reproduce > AlphaGo Zero - 25% winrate against GNUGo on the easiest reasonable task > - 7x7 board. :) a.k.a. > >

Re: [Computer-go] Learning related stuff

Le 21/11/2017 à 23:27, "Ingo Althöfer" a écrit : > Hi Erik, > >> No need for AlphaGo hardware to find out; any >> toy problem will suffice to explore different >> initialization schemes... > I know that. > > My intention with the question is a different one: > I am thinking how humans are

Re: [Computer-go] Is MCTS needed?

As far as I know, the state of art in chess is some flavor of alphabeta (as long as I read stockfish source correctly), so basically they prove their current esimation is the best one up to a certain depth. MCTS has the benefit to enable various depth search depending on how good the evaluation

[Computer-go] Did some zero project already show improvement over random moves

less than the one of google. So, as alphago zero goes approx 1000 elo points on 5 hours (just a rought mesurement on nature paper graph), one could have 2.8 ELO points won by day. Xavier Combelle ___ Computer-go mailing list Computer-go@computer-go.org

Re: [Computer-go] Significance of resignation in AGZ

It might make sense to enable resignation threshold even on stupid level. As such the first thing the network should learn would be not to resign to early (even before not passing) Le 02/12/2017 à 18:17, Brian Sheppard via Computer-go a écrit : > > I have some hard data now. My network’s initial

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

Another result is that chess is really drawish, at the opposite of shogi Le 06/12/2017 à 18:50, Richard Lorentz a écrit : > One chess result stood out for me, namely, just how much easier it was > for AlphaZero to win with white (25 wins, 25 draws, 0 losses) rather > than with black (3 wins, 47

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

generate a training database, and that part is trivial to distribute. > Testing if the new version is better than the old version is also very > easy to distribute. > > Álvaro. > > > On Wed, Oct 25, 2017 at 11:57 AM, Xavier Combelle > <xavier.combe...@gmail.com <m

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

ware. https://xkcd.com/1425/ As far as I understand your task to implement such an expert system would require the many years of implementations would be thousands of years. As far as my experience speak the expected reward would be a win of one or two rank and so definitely not a mid dan amateur level. Xavier Combelle ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go

Re: [Computer-go] Zero is weaker than Master!?

instance? > > Best, > Hideki > > Xavier Combelle: <05c04de1-59c4-8fcd-2dd1-094faabf3...@gmail.com>: >> How is it a fair comparison if there is only 3 days of training for Zero ? >> Master had longer training no ? Moreover, Zero has bootstrap problem >> because a

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

Is there some way to distribute learning of a neural network ? Le 25/10/2017 à 05:43, Andy a écrit : > Gian-Carlo, I didn't realize at first that you were planning to create > a crowd-sourced project. I hope this project can get off the ground > and running! > > I'll look into installing this

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

Le 24/10/2017 à 22:41, Robert Jasiek a écrit : > On 24.10.2017 20:19, Xavier Combelle wrote: >> totally unrelated > > No, because a) software must also be evaluated and can by go theory and What do you want evaluate the software for ? corner cases which never have happen

Re: [Computer-go] Zero is weaker than Master!?

rithm as described in this paper. However, it uses the same handcrafted features and rollouts as AlphaGo Lee and training was initialised by supervised learning from human data." Of what I understand same network architecture imply the same number of block Le 25/10/2017 à 17:58, Xavier Combelle a é

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

Le 24/10/2017 à 14:35, Robert Jasiek a écrit : > On 24.10.2017 11:45, David Ongaro wrote: >> very seldom saw a discussion with Robert lead to anything. > > (You seem to only refer to discussion on this mailing list.) > > Apart from this being a discussion about one particular person, let me >

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

ter-go.org/ "computer-go: Discussion on research and development of software that plays the game of Go." Now that is clear, I understand why I always felt your intervention misplaced (because they were misplaced). Le 24/10/2017 à 17:00, Robert Jasiek a écrit : > On 24.10.2017 16:45

Re: [Computer-go] Zero is weaker than Master!?

How is it a fair comparison if there is only 3 days of training for Zero ? Master had longer training no ? Moreover, Zero has bootstrap problem because at the opposite of Master it don't learn from expert games which means that it is likely to be weaker with little training. Le 24/10/2017 à

Re: [Computer-go] AlphaGo Zero

Le 20/10/2017 à 17:24, Robert Jasiek a écrit : >  Why, that is easy: test! Modify ONE weight and study its effect on > ONE aspect of human go theory, such as the occurrance (frequency) of > independent life. No effect? Increase the modification, test a > different weight, test a subset of

Re: [Computer-go] AlphaGo Zero

You seems to lack of knowing what is really a nano robot in current term. They are very far to have the possibility to self replicate them self and far more being able to dissolve the planet by doing that. What is currently named nanorobot is simply hand assembled molecules which have mechanical

[Computer-go] I present my apologizes to Robert Jasiek

I present my apologizes to Robert jasiek. To my knowledge all his behavior on this list was always correct and my initial and my subsequent mail was inappropriate Xavier Combelle ___ Computer-go mailing list Computer-go@computer-go.org http://computer

Re: [Computer-go] Zero is weaker than Master!?

ss 40 layers was > not enough to reach AlphaGo Master level and so they > doubled the layers. > > Hideki > > Xavier Combelle: <1550c907-8b96-e4ea-1f5e-2344f394b...@gmail.com>: >> As I understand the paper they directly created alphago zero with a 40 >> block >&g

Re: [Computer-go] Zero is weaker than Master!?

a écrit : > On 26-10-17 10:55, Xavier Combelle wrote: >> It is just wild guesses based on reasonable arguments but without >> evidence. > David Silver said they used 40 layers for AlphaGo Master. That's more > evidence than there is for the opposite argument that you are trying

Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

If you can build Go bot about  KGS 3/4dan strength I am more than > willing to admit you are right and would even consider buying > your  books. > > Petri > > 2017-10-26 6:21 GMT+03:00 Robert Jasiek <jas...@snafu.de > <mailto:jas...@snafu.de&g

Re: [Computer-go] Zero is weaker than Master!?

t; the Elo. > > On Thu, Oct 26, 2017, 23:35 Xavier Combelle <xavier.combe...@gmail.com> > wrote: > >> Unless I mistake figure 3 shows the plot of supervised learning to >> reinforcement learning, not 20 bloc/40 block >> >> For searching mention of the 20 bl

Re: [Computer-go] Zero is weaker than Master!?

ch element makes you say that >> section 2 and 3 are all for a 20 block instance >> >> >> Le 27/10/2017 E01:49, Hideki Kato a écrit : >>> The 40 block version (2nd instance) first appeared in >>> Section 4 in the paper. Section 2 and 3 are all for the 1st &g

Re: [Computer-go] Zero is weaker than Master!?

You are totally right it is not the same curves. according to the reddit post. So I was totally wrong > On 27-10-17 10:15, Xavier Combelle wrote: >> Maybe I'm wrong but both curves for alphago zero looks pretty similar >> except than the figure 3 is the zoom in of figure 6 &

Re: [Computer-go] sgf file for recent handicap games of pros vs programs

Tygem files are not sgf but gib:here dome convertor https://senseis.xmp.net/?GIB Le 23 janv. 2018 06:21, "Ray Tayek" a écrit : > is anyone collecting the sgf file for these games? > > i get the stuff below when i try to download. > > thanks > > > C:\Users\ray\Downloads>od -c

Re: [Computer-go] 9x9 is last frontier?

Where is leela chess. How many games it is trained on? Le 2 mars 2018 18:20, "Dan" a écrit : > Hello Aja, > > Could you enlighten me on how AlphaZero handles tactics in chess ? > > It seems the mcts approach as described in the paper does not perform well > enough. > >

Re: [Computer-go] AlphaZero tensorflow implementation/tutorial

looks you made it work on a 7x7 19x19 would probably give better result especially against yourself if you are a complete novice for not cheating against gnugo, use --play-out-aftermath of gnugo parameter If I don't mistake a competitive ai would need a lot more training such what does leela