In the paper, we re-investigate the long run behavior of an adaptive learning process driven
by the stochastic replicator dynamics developed by Fudenberg and Harris (1992). It is demonstrated
that the Nash equilibrium will be the robust limit of the adaptive learning process as long as it
is reachable for the learning dynamics in almost surely finite time. Doob’s martingale theory and
Girsanov Theorem play very important roles in confirming the required assertion
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.