Convex duality approach to the optimal control of diffusions
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An alternative to the usual dynamic programming approach to the optimal control of Markov processes is considered. It is based on duality of convex analysis. The control problem is embedded in a convex mathematical programming problem on a space of measures. The dual problem is to find the supremum of smooth subsolutions to the Hamilton–Jacobi–Bellman equation.