Re: [computer-go] Re: Former Deep Blue Research working on Go

2007-10-13 Thread Harri Salakoski
Considering how monte carlo actually works, I think it's plausible to argue that it works best where the distance to endgame is small. Is it then natural use it only after middle game. Build fuseki-joseki-extend scripted engine and change for monte-carlo engine in middle game? t. harri

Re: [computer-go] Re: Former Deep Blue Research working on Go

2007-10-13 Thread Chris Fant
Not only is it interesting to know what the strongest engine is, but also what the strongest opener is, the strongest middle-gamer, and the strongest finisher. It seems like a general consensus that UCT makes for a strong finisher. On 10/13/07, Harri Salakoski [EMAIL PROTECTED] wrote:

Re: [computer-go] Re: Former Deep Blue Research working on Go

2007-10-12 Thread terry mcintyre
From: Dave Dyer [EMAIL PROTECTED] Considering how monte carlo actually works, I think it's plausible to argue that it works best where the distance to endgame is small. For a 19x19 board, the playing speed may be only a factor of 4 worse, but the effective learning speed for an opening

[computer-go] Re: Former Deep Blue Research working on Go

2007-10-11 Thread Dave Dyer
Considering how monte carlo actually works, I think it's plausible to argue that it works best where the distance to endgame is small. For a 19x19 board, the playing speed may be only a factor of 4 worse, but the effective learning speed for an opening position might be exponentially worse. In