Identifying forecast horizons in nonhomogeneous Markov decision processes

Identifying forecast horizons in nonhomogeneous Markov decision processes

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Article ID: iaor1988723
Country: United States
Volume: 37
Issue: 2
Start Page Number: 339
End Page Number: 344
Publication Date: Mar 1989
Journal: Operations Research
Authors:
Keywords: markov processes
Abstract:

A procedure for identifying forecast horizons in nonhomogeneous Markov decision processes, based on convergence results for relative value functions, is developed. Two different algorithmic implementations of this procedure are discussed, and a closed form expression for computing sufficiently long horizons to guarantee epsilon optimality is presented.

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