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A further remark on dynamic programming for partially observed Markov processes

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  • Borkar, V.S.Vivek S.
  • Budhiraja, Amarjit

Abstract

In (Stochastic Process. Appl. 103 (2003) 293), a pair of dynamic programming inequalities were derived for the 'separated' ergodic control problem for partially observed Markov processes, using the 'vanishing discount' argument. In this note, we strengthen these results to derive a single dynamic programming equation for the same.

Suggested Citation

  • Borkar, V.S.Vivek S. & Budhiraja, Amarjit, 2004. "A further remark on dynamic programming for partially observed Markov processes," Stochastic Processes and their Applications, Elsevier, vol. 112(1), pages 79-93, July.
    • Handle: RePEc:eee:spapps:v:112:y:2004:i:1:p:79-93
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    1. Borkar, V. S., 2003. "Dynamic programming for ergodic control with partial observations," Stochastic Processes and their Applications, Elsevier, vol. 103(2), pages 293-310, February.
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    Cited by:

    1. T. Duncan & B. Pasik-Duncan & L. Stettner, 2005. "Ergodic and adaptive control of hidden Markov models," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 62(2), pages 297-318, November.

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