happypepper wrote:
Hey there,
The flop and turn were bucketed using k-means clustering with earth mover's distance metric. I didn't include the bucketing code used to generate the bucketing data files since they were ugly and unpolished. I can clean them up and release them if enough people want it though.
The river was bucketed using pair of (win%, tie%), assuming uniform opponent range. (similar to EHS)
I didn't experiment with different bucketing strategies.
That is an interesting suggestion to use MSE instead of huber loss. It's probably a good idea since outliers in poker are actually quite important. Nutted hands can sometimes have cfv of 30x pot size for certain range pairs and it's these cases that contain the greatest loss when trained with huber loss. IMO it's definitely worth running the experiment but I don't know if I'll have the time to do it in the near future.
Consider just for the river 'hand strength histogram homogeneity.' In my experimenting with HUNL CFRM strategies, that worked best in comparison. I'm not sure I have the code for it anymore, but I believe it involved calculating a inverse center-weighted skewness for the HS histogram. So, for nine slot HS histogram you would normalize it, multiply it by [5,4,3,2,1,2,3,4,5], then calculate the skewness for the weighted histogram and divide the skewness into x buckets. Having a better 'understanding' of the histogram distribution (as apposed to EHS) seemed to allow better strategic performance.
For flop and turn just do what you're doing.Statistics: Posted by cantina — Tue Jul 24, 2018 9:20 am
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