On Tue, Oct 5, 2010 at 15:34, <[email protected]> wrote: > Quoting Łukasz Lew <[email protected]>: > >> Your dynamic komi results are very convincing.. >> But shouldn't we just concentrate on maximizing score instead of >> winning rate in the beginning of the game? > > Maximizing winning rate means that the probability of having a score > 0 at > the end of the game is maximum.
I want to maximize expected score of a playout. I think that if we set komi so that around half of the playouts have score > 0 AND if the noise is large (the game is in the beginning) then maximixing winning rate is almost the same as maximizing score. The drawbacks of maximizing winning rate are: - we need to adhoc adjust komi to tell engine to concentrate on maximizing score - we throw away information. Of course maximizing winning rate is the right way in low-noise conditions (endgame). > > Exactly what do you mean with "maximizing score in the beginning of the > game"? > It is hard to estimate the score. Also in a game of go territory is not > everything. Aji and influence is also important. Win rate is as far as i > know the best way of capturing all these things in one measure that guides > search. > > Magnus > > > _______________________________________________ > Computer-go mailing list > [email protected] > http://dvandva.org/cgi-bin/mailman/listinfo/computer-go -- Łukasz _______________________________________________ Computer-go mailing list [email protected] http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
