[Computer-go] How well does pure monte carlo play?

[Petr Baudis]

On Sat, Jan 21, 2012 at 03:11:30PM -0800, Christoph Birk wrote:
> 
> On Jan 21, 2012, at 2:16 PM, Petr Baudis wrote:
> 
> > On Sat, Jan 21, 2012 at 03:42:57PM -0500, Don Dailey wrote:
> >> On Sat, Jan 21, 2012 at 2:31 PM, Eric Baum <ebaum at fastmail.fm> wrote:
> >> 
> >>> If you don't do rave, or use patterns to predict likely moves, or any of
> >>> that, but just do pure monte carlo,
> >>> parallelized on a cluster,how well would that play Go? Anyone know?
> > 
> > I assume you are talking about 9x9? A rather optimistic estimate would
> > be 1600 Elo on CGOS for 50k playouts per move; with GNUGo at 1800 Elo,
> > we could estimate this as 8k KGS.
> 
> myCtest-50k does exactly that and it rating is 1689 +- 15 (4000 games).

With what parameters? Is it really plain UCT? It used to be weaker...

http://senseis.xmp.net/?CGOSBasicUCTBots

-- 
				Petr "Pasky" Baudis
	The goal of Computer Science is to build something that will
	last at least until we've finished building it.