
doi: 10.1007/bf02666978
The authors consider the dynamic programming problem for Markovian random fields. Using the well-known approach from dynamic programming for Markov chains, he shows the existence of an optimal stationary Markovian policy, which may be computed via linear programming.
dynamic programming, Markov and semi-Markov decision processes, existence of an optimal stationary Markovian policy, Optimal stochastic control, linear programming, Markovian random fields
dynamic programming, Markov and semi-Markov decision processes, existence of an optimal stationary Markovian policy, Optimal stochastic control, linear programming, Markovian random fields
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