Markov Decision Processes with Sample Path Constraints: The Communicating Case
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DOI: 10.1287/opre.37.5.780
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Cited by:
- Yasemin Serin & Zeynep Muge Avsar, 1997. "Markov decision processes with restricted observations: Finite horizon case," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(5), pages 439-456, August.
- Golan, Michal & Shimkin, Nahum, 2024. "Markov decision processes with burstiness constraints," European Journal of Operational Research, Elsevier, vol. 312(3), pages 877-889.
- Ohlmann, Jeffrey W. & Bean, James C., 2009. "Resource-constrained management of heterogeneous assets with stochastic deterioration," European Journal of Operational Research, Elsevier, vol. 199(1), pages 198-208, November.
- Dmitry Krass & O. J. Vrieze, 2002. "Achieving Target State-Action Frequencies in Multichain Average-Reward Markov Decision Processes," Mathematics of Operations Research, INFORMS, vol. 27(3), pages 545-566, August.
- Q. Zhu, 2007. "Sample-path optimality and variance-maximization for Markov decision processes," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 65(3), pages 519-538, June.
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Keywords
dynamic programming; Markov finite state: time-average case; probability; Markov processes: sample-path constraints;All these keywords.
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