  In this paper, we propose a class of discrete-time approximation schemes for
stochastic optimal control problems under the $G$-expectation framework. The
proposed schemes are constructed recursively based on piecewise constant
policy. We prove the convergence of the discrete schemes and determine the
convergence rates. Several numerical examples are presented to illustrate the
effectiveness of the obtained results.
