Skip to main content

Part of the book series: Applied Mathematical Sciences ((AMS,volume 79))

Abstract

We begin in Section 2.2 by giving conditions under which υ* satisfies the Dynamic Programming Equation (Theorem 2.2), and in Section 2.3 we relate asymptotic discount optimality to a function that measures the “discrepancy” between an optimal action in state x and any other action α ∈ A(x). (Recall that A(x) denotes the set of admissible controls in state x; see Section 1.2.)

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Hernández-Lerma, O. (1989). Discounted Reward Criterion. In: Adaptive Markov Control Processes. Applied Mathematical Sciences, vol 79. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8714-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-8714-3_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6454-5

  • Online ISBN: 978-1-4419-8714-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics