 Bayesian regret

In game theory, Bayesian regret is the average difference between the utility of a strategy and an ideal utility where desired outcomes are maximized.The term "Bayesian" refers to Thomas Bayes (1702–1761), who proved a special case of what is now called Bayes' theorem, who provided the first mathematical treatment of a non-trivial problem of statistical data analysis using what is now known as Bayesian inference.