@article {1616977,
	title = {Deterministic Calibration and Nash Equilibrium},
	journal = {J.C.S.S Learning Theory Special Issue},
	volume = {74},
	number = {1},
	year = {2008},
	pages = {115-130},
	abstract = {We provide a natural learning process in which the joint frequency of (time-averaged) empirical play converges into the set of convex combinations of Nash equilibria. Furthermore, the actual distribution of players{\textquoteright} actions is close to some (approximate) Nash equilibria on most rounds (on all but a vanishing fraction of the rounds). In this process, all players rationally choose their actions using a public prediction made by a deterministic, weakly calibrated algorithm. For this to be possible, we show that such a deterministic (weakly) calibrated learning algorithm exists.},
	url = {https://doi.org/10.1016/j.jcss.2007.04.017},
	author = {Sham M. Kakade and Dean P. Foster}
}
