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On Data-Driven Model Identification for Nonlinear Optimal Control
In this paper, we study the use of nonlinear model identification techniques for the optimal control of nonlinear systems, also known as model-based Reinforcement Learning. We show that the nonlinear model identification problem is equivalent to estimating the generalized moments of an underlying sa
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