Skip to main content

Advanced Optimality Criteria

  • Chapter
  • First Online:
  • 3443 Accesses

Part of the book series: Stochastic Modelling and Applied Probability ((SMAP,volume 62))

Abstract

Chapter 9 considers again the denumerable state continuous-time MDP model with unbounded transition rates and reward functions, but now with respect to the bias and other advanced criteria. Under suitable conditions, we obtain some interesting results on the existence and characterization of n-discount optimal policies in Sect. 9.2. These results are similar to those in Chap. 3, but of course in the context of this chapter. Finally, the existence of a Blackwell optimal policy is ensured in Sect. 9.3.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Xianping Guo or Onésimo Hernández-Lerma .

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Guo, X., Hernández-Lerma, O. (2009). Advanced Optimality Criteria. In: Continuous-Time Markov Decision Processes. Stochastic Modelling and Applied Probability, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02547-1_9

Download citation

Publish with us

Policies and ethics