Great thesis. Many Faces also uses rule-based playouts, so Pachi is not the only rule-based strong program.
You mention that in the playouts you check ataris and extensions to avoid growing a losing ladder. Do you do a full ladder search, or just some local heuristics? Many Faces does not have any ladder search in the playouts. David > -----Original Message----- > From: computer-go-boun...@dvandva.org [mailto:computer-go- > boun...@dvandva.org] On Behalf Of Petr Baudis > Sent: Wednesday, August 03, 2011 3:13 PM > To: computer...@computer-go.org > Subject: [Computer-go] Master Thesis: Information Sharing in MCTS > > Hi! > > If anyone is interested, you can read my master thesis at: > > http://pasky.or.cz/go/prace.pdf > > It could give a good introduction to current Monte Carlo techniques > in Computer Go in general, and discusses some approaches for improvement > (nothing too dramatic). It also gives a mid-level technical description > of Pachi (with some important stuff left out, but we are preparing > a paper). > > Kind regards, > > -- > Petr "Pasky" Baudis > UNIX is user friendly, it's just picky about who its friends are. > _______________________________________________ > Computer-go mailing list > Computer-go@dvandva.org > http://dvandva.org/cgi-bin/mailman/listinfo/computer-go _______________________________________________ Computer-go mailing list Computer-go@dvandva.org http://dvandva.org/cgi-bin/mailman/listinfo/computer-go