Regress-Later Monte Carlo for optimal control of Markov processes

27 Dec 2017Alessandro BalataJan Palczewski

We develop two Regression Monte Carlo algorithms (value and performance iteration) to solve general problems of optimal stochastic control of discrete-time Markov processes. We formulate our method within an innovative framework that allow us to prove the speed of convergence of our numerical schemes... (read more)

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