A variance minimization problem for a Markov decision process
This paper deals with a discrete time Markov decision process with finite states and finite actions. The author investigates the problem to determine an optimal random policy that minimizes the variance of reward, with some constraint on the average reward. Introducing a parametric Markov decision process, he gives a procedure to find this optimal policy.
scientific article; zbMATH DE number 4012348
scientific article