OPTIMUM POLICIES FOR PARTIALLY OBSERVABLE MARKOV SYSTEMS
James S. Kakalik · 1965
The problem considered is the monitoring of a discrete-state Markov process through a noisy channel with associated costs. Dynamic programming techniques are used to establish the optimal monitoring decision policies for both transient and steady-state situations. Examples are included.