Abstract
In this note we consider a vector-valued decision problem for finite stochastic cellular systems, based on the Pareto-minimum of vectors, components of which are average costs corresponding to the cells of the system. We give a policy-improvement algorithm and show, under which conditions a policy is optimal.
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