I thought about this a long time ago, but I thought it would only make a difference when the number of simulations is very small, which should probably be covered by heuristics, so I don't think the refinement for the standard deviation will matter much in the end.
Even though the article is about how to do statistics with the beta distribution, it missed the opportunity to apply that same math to measure the statistical significance of the result of their experiment. If I am not mistaken, one program seems to be better than the other with a t-value of 1.3 or so. Nothing to write home about... On Thu, Jun 18, 2009 at 4:04 PM, Peter Drake<[email protected]> wrote: > An improvement on the UCB/UCT formula: > > Stogin, J., Chen, Y.-P., Drake, P., and Pellegrino, S. (2009) “The Beta > Distribution in the UCB Algorithm Applied to Monte-Carlo Go”. In Proceedings > of the 2009 International Conference on Artificial Intelligence, CSREA > Press. > > http://webdisk.lclark.edu/drake/publications/BetaDistribution.pdf > > Peter Drake > http://www.lclark.edu/~drake/ > > > > _______________________________________________ > computer-go mailing list > [email protected] > http://www.computer-go.org/mailman/listinfo/computer-go/ > _______________________________________________ computer-go mailing list [email protected] http://www.computer-go.org/mailman/listinfo/computer-go/
