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Reinforcement learning for long-run average cost

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  • Gosavi, Abhijit

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  • Gosavi, Abhijit, 2004. "Reinforcement learning for long-run average cost," European Journal of Operational Research, Elsevier, vol. 155(3), pages 654-674, June.
    • Handle: RePEc:eee:ejores:v:155:y:2004:i:3:p:654-674
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    1. Cassandras, Christos G. & Han, Youngnam, 1992. "Optimal inspection policies for a manufacturing station," European Journal of Operational Research, Elsevier, vol. 63(1), pages 35-53, November.
    2. Shioyama, Tadayoshi, 1991. "Optimal control of a queuing network system with two types of customers," European Journal of Operational Research, Elsevier, vol. 52(3), pages 367-372, June.
    3. Tapas K. Das & Abhijit Gosavi & Sridhar Mahadevan & Nicholas Marchalleck, 1999. "Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning," Management Science, INFORMS, vol. 45(4), pages 560-574, April.
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    Cited by:

    1. Stephane R. A. Barde & Soumaya Yacout & Hayong Shin, 2019. "Optimal preventive maintenance policy based on reinforcement learning of a fleet of military trucks," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 147-161, January.
    2. Jian Wang & Murtaza Das & Stephen Tappert, 2021. "Applying reinforcement learning to estimating apartment reference rents," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 330-343, June.
    3. van Wezel, M.C. & van Eck, N.J.P., 2005. "Reinforcement learning and its application to Othello," Econometric Institute Research Papers EI 2005-47, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Yang, Hongbing & Li, Wenchao & Wang, Bin, 2021. "Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    5. Schütz, Hans-Jörg & Kolisch, Rainer, 2012. "Approximate dynamic programming for capacity allocation in the service industry," European Journal of Operational Research, Elsevier, vol. 218(1), pages 239-250.
    6. Xiaonong Lu & Baoqun Yin & Haipeng Zhang, 2016. "A reinforcement-learning approach for admission control in distributed network service systems," Journal of Combinatorial Optimization, Springer, vol. 31(3), pages 1241-1268, April.
    7. Safaei, Fatemeh & Ahmadi, Jafar & Taghipour, Sharareh, 2022. "A maintenance policy for a k-out-of-n system under enhancing the system’s operating time and safety constraints, and selling the second-hand components," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    8. Li, Xueping & Wang, Jiao & Sawhney, Rapinder, 2012. "Reinforcement learning for joint pricing, lead-time and scheduling decisions in make-to-order systems," European Journal of Operational Research, Elsevier, vol. 221(1), pages 99-109.
    9. Singh, Sumeetpal S. & Tadic, Vladislav B. & Doucet, Arnaud, 2007. "A policy gradient method for semi-Markov decision processes with application to call admission control," European Journal of Operational Research, Elsevier, vol. 178(3), pages 808-818, May.
    10. Barlow, E. & Bedford, T. & Revie, M. & Tan, J. & Walls, L., 2021. "A performance-centred approach to optimising maintenance of complex systems," European Journal of Operational Research, Elsevier, vol. 292(2), pages 579-595.
    11. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
    12. Georgios K. Koulinas & Panagiotis D. Paraschos & Dimitrios E. Koulouriotis, 2024. "A machine learning framework for explainable knowledge mining and production, maintenance, and quality control optimization in flexible circular manufacturing systems," Flexible Services and Manufacturing Journal, Springer, vol. 36(3), pages 737-759, September.
    13. Duraikannan Sundaramoorthi & Victoria Chen & Jay Rosenberger & Seoung Kim & Deborah Buckley-Behan, 2010. "A data-integrated simulation-based optimization for assigning nurses to patient admissions," Health Care Management Science, Springer, vol. 13(3), pages 210-221, September.

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