Re: [Computer-go] Board evaluation using a convolutional neural network

> Regarding 9x9, I believe Alvaro Begue has explored this idea in a way > which perhaps would work better in a go engine. He used pachi to generate a > database of games by playing against itself and then trained a model in a > similar fashion to what I did. I'm not sure about the results of his >

[Computer-go] Invitation:: DICTAP2016- IEEE- Turkey

**CALL FOR PAPERS** *Mevlana University, Konya, Turkey* July 21 - 23, 2016* The Sixth International Conference on Digital Information & Communication

Re: [Computer-go] Go Aesthetics

On 1/11/2016 7:10 PM, Gonçalo Mendes Ferreira wrote: Hi, some time back I mentioned creating a program that evaluates the aesthetics of a game of Go. Has anyone given it some thought? I'd love to have a comparison between professional and amateur dan matches, ... shape

[Computer-go] Board evaluation using a convolutional neural network

Hey everyone, I recently trained a CNN to do board evaluation in Go. You can see the work on github: https://github.com/jmgilmer/GoCNN The network was trained on 15000 professional games which didn't end in resignation, I had the network try to predict the final ownership based on current

Re: [Computer-go] Board evaluation using a convolutional neural network

Although it cannot replace MC simulations altogether, it *could* be used for more accurate prior values I suppose. Do you plan to integrate it in a MCTS program and see? Michi is also written in python... Gonçalo On 12/01/2016 21:30, Justin .Gilmer wrote: Hey everyone, I recently trained

Re: [Computer-go] Go Aesthetics

Some time ago, we (with pasky) looked into a related question of player attribute prediction - such as territoriality, aggresivity, influence oriented style, or strength. Project website is here: http://gostyle.j2m.cz/ Imo you can predict/evaluate pretty much anything you get dataset for.

Re: [Computer-go] Go Aesthetics

I like the topic of aesthetics in gameplay. I think the focus in previous studies in chess was more on compositions (artificial problems) than on actual games, so the question is not whether a player plays beautifully, but whether a problem is elegant and beautiful. And they did come up with

Re: [Computer-go] Go Aesthetics

On 12 January 2016 at 13:29, Ray Tayek wrote: > On 1/11/2016 7:10 PM, Gonçalo Mendes Ferreira wrote: > > Hi, some time back I mentioned creating a program that evaluates the > aesthetics of a game of Go. Has anyone given it some thought? I'd love to > have a comparison between

Re: [Computer-go] Go Aesthetics

And do you find these "ugly yet working" moves aesthetically pleasing? I think it all depends what do we mean by aesthetics. In my opinion, it is not strength - the hard thing about go imo is that while the nice (shape, ..) do often work, sometimes, the ugly move works better - precisely as Nick

Re: [Computer-go] Board evaluation using a convolutional neural network

Quick question: When using this mailing list, how to I explicately reply to a thread, so far I've just been editing the subject and sending it to computer-go@computer-go.org. Regarding use in a MTCS engine, I strongly suspect it would perform poorly in its current form. It is quite poor at life

Re: [Computer-go] Board evaluation using a convolutional neural network

Hi Justin, that sounds interesting. WOPuld it be possible for you to train an analogous CNN for 9x9 Go? Ingo.     Gesendet: Dienstag, 12. Januar 2016 um 22:30 Uhr Von: "Justin .Gilmer" An: computer-go@computer-go.org Betreff: [Computer-go] Board evaluation using a

Re: [Computer-go] Go Aesthetics

I agree that playing strength should not be determinant for Go aesthetics. Of course obvious mistakes are not pleasant, but I consider close matches* with either close styles (symmetry) or very different styles more important. Lopsided or early decided matches with big captures, handicaps,