[Computer-go] Kassandra talking

2014-12-22 Thread Ingo Althöfer
Hi all, it seems computer-go faces exciting times again. What a wonderful world. Switch to Kassandra mode: Several years ago (ca 2008) Sylvain Gelly had his Ph.D. thesis and in it a section on the quality of random game generators. One of his

Re: [Computer-go] Kassandra talking

2014-12-22 Thread Robert Jasiek
n 22.12.2014 09:46, Ingo Althöfer wrote: In total: Changing the random move generator typically will change the playing behaviour. However, it can not be well predicted if this change will be to the better or to the worse. Is this prediction theoretically impossible (why, under exactly which

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

2014-12-22 Thread David Silver
Hi Martin - Would you be willing to share some of the sgf game records played by your network with the community? I tried to replay the game record in your paper, but got stuck since it does not show any of the moves that got captured. Sorry about that, we will correct the figure and repost.

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

2014-12-22 Thread Stefan Kaitschick
Last move info is a strange beast, isn't it? I mean, except for ko captures, it doesn't really add information to the position. The correct prediction rate is such an obvious metric, but maybe prediction shouldn't be improved at any price. To a certain degree, last move info is a kind of

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

2014-12-22 Thread Thomas Wolf
Last move info is a cheap hint for an instable area (unless it is a defense move). Thomas On Mon, 22 Dec 2014, Stefan Kaitschick wrote: Last move info is a strange beast, isn't it? I mean, except for ko captures, it doesn't really add information to the position. The correct prediction rate

Re: [Computer-go] Kassandra talking

2014-12-22 Thread Ingo Althöfer
Hallo Robert, In total: Changing the random move generator typically will change the playing behaviour. However, it can not be well predicted if this change will be to the better or to the worse. Is this prediction theoretically impossible (why, under exactly which presuppositions)

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

2014-12-22 Thread Petr Baudis
On Mon, Dec 22, 2014 at 03:45:47PM +0100, Stefan Kaitschick wrote: Last move info is a strange beast, isn't it? I mean, except for ko captures, it doesn't really add information to the position. The correct prediction rate is such an obvious metric, but maybe prediction shouldn't be improved