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We derive an algorithm in the spirit of Rogers and Davis & Burstein thatleads to upper bounds for stochastic control problems. Our bounds complementlower biased estimates recently obtained in the work of Guyon &Henry-Labord\`ere. We evaluate our estimates in numerical examples motivatedfrom mathematical finance.

A dual algorithm for stochastic control problems: Applications to Uncertain Volatility Models and CVA