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Regarding opponent modelling, I had the ability to track all play into a central PTrack db, summarize the stats of each opponent by the basics, assign a category (Rock, Solid, Typical, Fish, etc.) and act accordingly. Honestly it may have been a limitation of oversimplifying the analysis, but I never found a difference in real world results and turned it off.
When running my limit bots from 2002-2006 I played primarily .50/1 thru 3/6. I was winning 5BB/100 at .50/1. At each level above .50 the win rate was cut in half. In order to compensate for that I added in player modeling which slightly increased the win rate but not by much. I found all the work I did for modeling did not prove to be worth it for those limit games at the time. It definitely needed more work and I had better things to do. So I gave up at 3/6 and stayed in .50/1 and just played more tables modifying the AI to play tighter games which my bot was avoiding. I was more comfortable with the swings at those limits anyway. I think on a normal day I was playing about 4 tables during the day and 10-16 at night when the action picked up.Statistics: Posted by shalako — Sun Jul 06, 2014 10:39 pm
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