Re: [Computer-go] Teaching Deep Convolutional Neural Networks to Play Go

2014-12-19 Thread Petr Baudis
Hi! On Fri, Dec 19, 2014 at 10:50:30AM +0900, Hiroshi Yamashita wrote: One question: Is there a place where I can find sgf Paper author, Christopher Clark kindly sent me sgf and let me share on ML. That's great, thanks for negotiating that. :-) This is a copy of sgf.

Re: [Computer-go] Teaching Deep Convolutional Neural Networks to Play Go

2014-12-19 Thread Stefan Kaitschick
That's pretty good looking for a pure predictor. Considering it has no specific knowledge about semeais, ladders, or ko threat situations... Switching out the pattern matcher (not the whole move generator) in an existing mc program, should be pretty straightforward. Even if the nn is a lot slower

Re: [Computer-go] Teaching Deep Convolutional Neural Networks to Play Go

2014-12-19 Thread Hiroshi Yamashita
Hi, The predictor is white. It really does just play shapes, but evidently it's plenty enough sometimes or against weaker opponents. I saw some games, and my impression are DCNN sees board widely. Without previous move info, DCNN can answer opponent move. It knows well corner life and death

Re: [Computer-go] Teaching Deep Convolutional Neural Networks to Play Go

2014-12-19 Thread Brian Sheppard
This is Aya's move predictor(W) vs GNU Go(B). http://eidogo.com/#3BNw8ez0R I think previous move effect is too strong. This is a good example of why a good playout engine will not necessarily play well. The purpose of the playout policy is to *balance* errors. Following your opponent's last

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional Neural Networks

2014-12-19 Thread Kahn Jonas
Hi Aja We've just submitted our paper to ICLR. We made the draft available at http://www.cs.toronto.edu/~cmaddis/pubs/deepgo.pdf I hope you enjoy our work. Comments and questions are welcome. I did not look at the go content, on which I'm no expert. But for the network training, you might be

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional Neural Networks

2014-12-19 Thread Erik van der Werf
On Sat, Dec 20, 2014 at 12:17 AM, Aja Huang ajahu...@google.com wrote: We've just submitted our paper to ICLR. We made the draft available at http://www.cs.toronto.edu/~cmaddis/pubs/deepgo.pdf Hi Aja, Wow, very impressive. In fact so impressive, it seems a bit suspicious(*)... If this is real

Re: [Computer-go] Teaching Deep Convolutional Neural Networks to Play Go

2014-12-19 Thread Martin Mueller
I put two commented games on http://webdocs.cs.ualberta.ca/~mmueller/fuego/Convolutional-Neural-Network.html http://webdocs.cs.ualberta.ca/~mmueller/fuego/Convolutional-Neural-Network.html Enjoy! Martin ___ Computer-go mailing list

Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional NeuralNetworks

2014-12-19 Thread Hiroshi Yamashita
Hi Aja, We've just submitted our paper to ICLR. We made the draft available at http://www.cs.toronto.edu/~cmaddis/pubs/deepgo.pdf 97.2% against GNU Go?! Accuracy is 55%?! Incredible! Thanks for the paper! But it looks playing strength is similar to Clark's CNN. MCTS with CNN is interesting.

Re: [Computer-go] Teaching Deep Convolutional Neural Networks toPlay Go

2014-12-19 Thread Hiroshi Yamashita
Hi Martin, I put two commented games on http://webdocs.cs.ualberta.ca/~mmueller/fuego/Convolutional-Neural-Network.html Thank you for the report. It was fun. I'm also surprised CNN can play move 185 in Game 1. CNN uses 1, 2, or 3 or more liberties info. B libs changed from 4 to 3. And W libs

[Computer-go] Teaching Deep Convolutional Neural Networks to Play Go

2014-12-19 Thread Hugh Perkins
On Sun Dec 14 23:53:45 UTC 201, Hiroshi Yamashita wrote: Teaching Deep Convolutional Neural Networks to Play Go http://arxiv.org/pdf/1412.3409v1.pdf Wow, this resembles somewhat what I was hoping to do! But now I should look for some other avenue :-) But I'm surprised it's only published on