> Is it enough to use big number of hign-dan games to build a strong > pattern library for random playouts?
When I address large-scale patterns, I will use the following principles: 1) Select examples only from the program's own games, to ensure that everything that is learned is actually relevant. 2) Select examples only from the moves of the side that won, to ensure that the lessons learned are asymptotically consistent. 3) Select examples only from the moves where the existing rules predicted something else, to ensure that we don't overemphasize obvious moves. 4) Continue to sample indefinitely, to ensure that learning always continues. Best, Brian _______________________________________________ Computer-go mailing list [email protected] http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
