> > I am trying to create a database of games to do some machine-learning > experiments. My requirements are: > * that all games be played by the same strong engine on both sides, > * that all games be played to the bitter end (so everything on the board > is alive at the end), and > * that both sides play trying to maximize score, not winning probability. > > This last requirement is a bit unusual. Ideally I would like to do this on > 9x9 first (to be able to try many things quickly) and then 19x19 (the real > thing). > > Is there a strong engine that would allow me to do this? Linux or Mac > strongly preferred. I'll be happy to pay for it if it's commercial. >
Hello, pachi ( pachi.or.cz ) is reasonably strong and you can achieve what you want by using following comandline options: pass_all_alive,maximize_score,resign_threshold=0.0 but as the README for maximize_score says: Note that Pachi in this mode may be slightly weaker, and result margin should not be taken into account when judging either player's strength. During the game, the winning/losing margin can be approximated from Pachi's "extra komi" or "xkomi" reporting in the progress messages. Regards, Josef
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