This thought was inspired by the dynamic komi discussion (specifically, Lewkaz's comments) and it may be most appropriate in handicap games, if appropriate at all. I was wondering if anyone has tried it. The idea is to replace the WinRate term of your move selection (at the root and/or in the tree) with a linear combination of WinRate and ExpectedScore in such a way that WinRate matters more when WinRate is near 0.5 and ExpectedScore matters more when WinRate is near an extreme. Something like this:
extremeness = 2 * abs(WinRate - 0.5) Eval = (1 - extremeness) * WinRate + extremeness * ExpectedScore; I think ExpectedScore would need to be in the range 0 to 1, just like WinRate. _______________________________________________ Computer-go mailing list [email protected] http://dvandva.org/cgi-bin/mailman/listinfo/computer-go
