Did you go straight from zero to BoardImplementation+UCT+RAVE? Have you confirmed that your basic board logic is correct using simple strategies, such as pure AMAF? Or even simpler such as the average playout length metric?
On Mon, Oct 18, 2010 at 10:18 PM, James Pettit <[email protected]> wrote: > I have a basic UCT bot with AMAF/RAVE implemented as part of my master's > research. The bot can muster a small win-rate versus Gnugo level 6 (~20% as > black), but usually loses games by not forming 2 eyes and being completely > captured. I have uniform random playouts, with simple ko and self-eye moves > disallowed. Is this normal for a basic UCT bot? From looking at territory > visualizations (the viz. post has been most interesting), the bot seems to > want to capture white groups that can usually be kept alive, and ignores > forming eyes to keep itself alive. I'm wondering if I messed up somewhere in > the tree portion searching possible opponent moves. Any thoughts? > - James Pettit > > _______________________________________________ > Computer-go mailing list > [email protected] > http://dvandva.org/cgi-bin/mailman/listinfo/computer-go > _______________________________________________ Computer-go mailing list [email protected] http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
