Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

2016-03-11 Thread Brian Sheppard
Actually chess software is much, much better. I recall that today's software running on 1998 hardware beats 1998 software running on today's hardware. It was very soon after 1998 that ordinary PCs could play on a par with world champions. -Original Message- From: Computer-go [mailto:com

Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

2016-03-11 Thread Рождественский Дмитрий
I think that a desktop computer's calculating power appear to develop to a necessary level sooner then the algorithm may be optimized to use the power nowdays available. For example, I belive that chess programs run on a desktop well not because of a new better algotrithm but because the Deep Bl

Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

2016-03-11 Thread Darren Cook
>> global, more long-term planning. A rumour so far suggests to have used the >> time for more learning, but I'd be surprised if this should have sufficed. > > My personal hypothesis so far is that it might - the REINFORCE might > scale amazingly well and just continuous application of it... Agre

Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

2016-03-11 Thread Petr Baudis
On Fri, Mar 11, 2016 at 09:33:52AM +0100, Robert Jasiek wrote: > On 11.03.2016 08:24, Huazuo Gao wrote: > >Points at the center of the board indeed depends on the full board, but > >points near the edge does not. > > I have been wondering why AlphaGo could improve a lot between the Fan Hui > and L

Re: [Computer-go] AlphaGo & DCNN: Handling long-range dependency

2016-03-11 Thread Robert Jasiek
On 11.03.2016 08:24, Huazuo Gao wrote: Points at the center of the board indeed depends on the full board, but points near the edge does not. I have been wondering why AlphaGo could improve a lot between the Fan Hui and Lee Sedol matches incl. learning sente and showing greater signs of more