Martingale methods in stochastic control

@inproceedings{Davis1979MartingaleMI,
  title={Martingale methods in stochastic control},
  author={Mark H. A. Davis},
  year={1979}
}
Abstract : The martingale treatment of stochastic control problems is based on the idea that the correct formulation of Bellman's principle of optimality for stochastic minimization problems is in terms of a submartingale inequality: the value function of dynamic programming is always a submartingale and is a martingale under a particular control strategy if and only if that strategy is optimal. Local conditions for optimality in the form of a minimum principle can be obtained by applying Meyer… Expand
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