In view of the prevalence of dynamic uncertainties, we study the robust policy learning control of nonlinear plants in this paper. The auxiliary system and policy learning techniques are integrated to ...

Neural networks (NNs) are attractive for nonlinear impairment compensation applications in communication systems, such as optical fiber nonlinearity, nonlinearity of driving amplifiers, and ...