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Reinforcement learning for long-run average cost


  • 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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    References listed on IDEAS

    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. 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.
    2. 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.
    3. Stephane R. A. Barde & Soumaya Yacout & Hayong Shin, 0. "Optimal preventive maintenance policy based on reinforcement learning of a fleet of military trucks," Journal of Intelligent Manufacturing, Springer, vol. 0, pages 1-15.
    4. 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.
    5. 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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