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Computing optimal interventions for stochastic nonlinear systems is a computationally demanding process requiring the solution of nonlinear partial differential equations. Here we build on the Path Integral control formalism to derive an *noniterative* framework that represents the solutions of the underlying partial differential equations in terms of *deterministic* particle flows.
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