  This paper investigates the problem of maximizing expected terminal utility
in a discrete-time financial market model with a finite horizon under
non-dominated model uncertainty. We use a dynamic programming framework
together with measurable selection arguments to prove that under mild
integrability conditions, an optimal portfolio exists for an unbounded utility
function defined on the half-real line.
