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

Sorry for a typo. I meant > Hello Aja, >   > congratulations to the success of you and the other team memberS! So, not singular, but plural. Ingo. ___ Computer-go mailing list Computer-go@computer-go.org

Re: [Computer-go] Game Over

To the authors: Did the deep-NN architecture learn ladders on its own, or was any extra ladder-evaluation code added to the playout module? ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go

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

2016-01-27 18:46 GMT+00:00 Aja Huang : > Hi all, > > We are very excited to announce that our Go program, AlphaGo, has beaten a > professional player for the first time. AlphaGo beat the European champion > Fan Hui by 5 games to 0. We hope you enjoy our paper, published in

Re: [Computer-go] Game Over

It's in the paper: "ladder capture" and "ladder escape" are features that are fed as inputs into the CNN. Álvaro. On Wed, Jan 27, 2016 at 6:03 PM, Ryan Grant wrote: > To the authors: Did the deep-NN architecture learn ladders on its own, > or was any extra

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

Congratulations to Aja! A question to the community. Is anyone going to replicate the experimental results? https://www.quora.com/Is-anyone-replicating-the-experimental-results-of-the-human-level-Go-player-published-by-Google-Deepmind-in-Nature-in-January-2016 ? Jason On Thu, Jan 28, 2016 at

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

Wow, excellent results, congratulations Aja & team! I'm surprised to see nothing explicitly on decomposing into subgames (e.g. for semeai). I always thought some kind of adaptive decomposition would be needed to reach pro-strength... I guess you must have looked into this; does this mean that the

Re: [Computer-go] Game Over

Congratulations to Aja & DeepMind team! Amazing results :) Yuandong Tian Research Scientist, Facebook Artificial Intelligence Research (FAIR) Website: https://research.facebook.com/researchers/1517678171821436/yuandong-tian/

Re: [Computer-go] Game Over

Congrats to the AlphaGo team — a tremendous accomplishment! I've been reading the paper and have written up a summary of what they did: https://smartgo.com/blog/google-alphago.html Please let me know if I misinterpreted anything. Also, the truncated rollouts mentioned in the paper are

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

Congratulations to the researchers! On 27.01.2016 21:10, Michael Markefka wrote: I really do hope that this also turns into a good analysis and teaching tool for human player. That would be a fantastic benefit from this advancement in computer Go. The programs successful as computer players

Re: [Computer-go] Game Over

Congratulations to Aja $ DeepMind to that great result! I am curious to see AlphaGo having to play a tough narrow endgame. In the first of the 5 games it could affort not to play totally optimal in the end and in the next 4 games Fan resigned. End games require again other, more math like

[Computer-go] Lorentz slides on early termination of playouts in MCTS

Click here for the slides of Richard's talk: https://acg2015.files.wordpress.com/2015/07/lorentz.pdf Ingo. ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go

Re: [Computer-go] Game Over

Hello Anders, thanks for the summary on the smartgo site. > ... the truncated rollouts mentioned in the paper are still unclear to me. The greatest expert on these rollouts might be Richard Lorentz. He applied them successfully to his bots in the games Amazons (not to be mixed up with the

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

Congratulations Aja. Do you have a plan to run AlphaGo on KGS? It must be a 9d! Yamato ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go

Re: [Computer-go] Facebook Go

Yes, it has been: http://computer-go.org/pipermail/computer-go/2015-November/008267.html Are there any news on Google's efforts? Álvaro. On Wed, Jan 27, 2016 at 10:10 AM, Richard Lorentz wrote: > Not sure if this has been posted here already or not: >

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

Google’s breakthrough is just as impactful as the invention of MCTS. Congratulations to the team. It’s a huge leap for computer go, but more importantly it shows that DNN can be applied to many other difficult problems. I just added an answer. I don’t think anyone will try to exactly

[Computer-go] Game Over

https://www.youtube.com/watch?v=g-dKXOlsf98 Google beats Fan Hui, 2 dan pro, 5-0 (19x19, no handicap)! Congratulations! I am proud of my student Aja. They'll play Lee Sedol in March. It's a pity they don't participate in the UEC Cup. I read the paper. The most original idea is in learning a

Re: [Computer-go] Game Over

http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html well done Aja :) On Wed, Jan 27, 2016 at 5:59 PM, Erik S. Steinmetz wrote: > This seems quite amazing. Congratulations to the Google DeepMind team and > AlphaGo! > > Rémi, Is the paper of which you speak

Re: [Computer-go] Game Over

I foresee a future where we watch Google vs Facebook matches with human professionals providing commentary on their superiors :-) Interesting times we live in! -John ___ Computer-go mailing list Computer-go@computer-go.org

Re: [Computer-go] Computer-go Digest, Vol 72, Issue 27

t; > Congratulations! I am proud of my student Aja. They'll play Lee Sedol in > > March. > > > > > > It's a pity they don't participate in the UEC Cup. > > > > > > I read the paper. The most original idea is in learning a value > network. > > It see

Re: [Computer-go] Game Over

for those looking for sgfs: http://deepmind.com/alpha-go.html 2016-01-27 19:25 GMT+01:00 Julian Schrittwieser : > Actually the paper has been in the works for quite a while and was already > set to be released today for some weeks. > It seems a journalist reached out

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

Congratulations Aja, well done :) On Wed, Jan 27, 2016 at 6:46 PM, Aja Huang wrote: > Hi all, > > We are very excited to announce that our Go program, AlphaGo, has beaten a > professional player for the first time. AlphaGo beat the European champion > Fan Hui by 5 games to

Re: [Computer-go] Facebook Go

> A member of the German forum said, that a French Go player reported on > Facebook, that Fan Hui lost 5 out of 5 games to the Google Go engine. To ask the obvious: Were these even or handicap games? -John ___ Computer-go mailing list

Re: [Computer-go] Facebook Go

http://wayt.synology.me/wordpress/1348-2/ no handicap 2016-01-27 17:42 GMT+01:00 John Tromp : > > A member of the German forum said, that a French Go player reported on > > Facebook, that Fan Hui lost 5 out of 5 games to the Google Go engine. > > To ask the obvious: > >

Re: [Computer-go] Game Over

Distributed AlphaGo is stronger than CrazyStone by +1200 Elo?! AlphaGo: Mastering the ancient game of Go with Machine Learning http://googleresearch.blogspot.jp/2016/01/alphago-mastering-ancient-game-of-go.html Hiroshi Yamashita - Original Message - From: "Rémi Coulom"

Re: [Computer-go] Game Over

If you want to view them in the browser, I've also put them on my blog: http://www.furidamu.org/blog/2016/01/26/mastering-the-game-of-go-with-deep-neural-networks-and-tree-search/ (scroll down) On Wed, Jan 27, 2016 at 6:28 PM, Marc Landgraf wrote: > for those looking for

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

I really do hope that this also turns into a good analysis and teaching tool for human player. That would be a fantastic benefit from this advancement in computer Go. On Wed, Jan 27, 2016 at 9:08 PM, Aja Huang wrote: > 2016-01-27 18:46 GMT+00:00 Aja Huang

Re: [Computer-go] Game Over

Actually the paper has been in the works for quite a while and was already set to be released today for some weeks. It seems a journalist reached out to Facebook to comment a day ago. On Wed, Jan 27, 2016 at 6:19 PM, Gian-Carlo Pascutto wrote: > On 27/01/2016 18:58, Darren Cook

Re: [Computer-go] Game Over

> Google beats Fan Hui, 2 dan pro, 5-0 (19x19, no handicap)! > ... > I read the paper... Is it available online anywhere, or only in Nature? I just watched the video, which was very professionally done, but didn't come with the SGFs, information on time limits, number of CPUs, etc. Aja, David -

Re: [Computer-go] Game Over

Thank you for the game records! I really am just a by stander and kibizer and a weak player, but isn't the style of Fan Hui going too low positions, keep making clusters, and do a local fight at a time? On Wed, Jan 27, 2016 at 10:29 AM, Julian Schrittwieser wrote: > If

Re: [Computer-go] Game Over

Congratulation! Really an excellent job, David and Aja! I imagined once but didn't think such value networks can be trained in practice, what a suprising machine power of the cloud! Hideki Remi Coulom: <56a919e2.9030...@free.fr>:

Re: [Computer-go] Game Over

https://storage.googleapis.com/deepmind-data/assets/papers/deepmind-mastering-go.pdf On 01/27/2016 06:58 PM, Darren Cook wrote: Is it available online anywhere, or only in Nature? ___ Computer-go mailing list Computer-go@computer-go.org

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

Hello Aja,   congratulations to the success of you and the other team member!   To the others: Should we call the game "Goo" in the future, to honour Goo-gles progress? CHeers, Ingo. Gesendet: Mittwoch, 27. Januar 2016 um 19:46 Uhr Von: "Aja Huang" An: 

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

Congratulations Aja and David! What an interesting idea to train the value network and surprising power of the cloud! Then, when you will get +400 Elo? :) Hideki Aja Huang: : >Hi all, > >We are very excited to announce that

[Computer-go] Facebook Go

Not sure if this has been posted here already or not: http://arxiv.org/abs/1511.06410 I found out about it from here, which makes sense I guess: https://www.facebook.com/zuck/posts/10102619979696481?fref=nf -Richard ___ Computer-go mailing