  We introduce two algorithms based on a policy iteration method to numerically
solve time-dependent Mean Field Game systems of partial differential equations
with non-separable Hamiltonians. We prove the convergence of such algorithms in
sufficiently small time intervals with Banach fixed point method. Moreover, we
prove that the convergence rates are linear. We illustrate our theoretical
results by numerical examples, and we discuss the performance of the proposed
algorithms.
