SEPARABLE MARKOVIAN DECISION PROCESSES,

Abstract

The special structure of a class of Markovian decision problems is exploited to simplify the determination of optimum policies. For certain pairs consisting of a state i and decision k, the cost c subscript i superscript k separates (c subscript i superscript k = a sub i + b sub k), while the transition probabilities p subscript ij superscript k and transition time distributions F subscript ij superscript k are independent of i. Equivalence of a second Markovian decision problem which exploits this structure is demonstrated for the discounted and averaging cases. In addition, streamlined approaches are presented for dealing directly with the original problem and a particular inventory model is further simplified. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1967
Accession Number
AD0659726

Entities

People

  • Eric V. Denardo

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Inventory
  • Transitions

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Linear Algebra