FINITE-STATE APPROXIMATIONS TO DENUMERABLE-STATE DYNAMIC PROGRAMS,

Abstract

The paper presents a description of a sequence of policies for essentially finite-state dynamic programs with applications to Air Force inventory control problems. The work considers the case in dynamic programming where the domain and range is the space of denumerable sequences. To obtain a sequence of finite-state approximations, the problem is expressed in a manner essentially equivalent to that of an n-state problem, achieved by 'cutting off the tail' of the original problem. Policies are defined for essentially finite-state dynamic programs such that the corresponding vector of optimal returns converges pointwise to that of a denumerable-state dynamic program. This result implies that when the number of states in the approximating program is large, the exact number does not matter significantly, say in determining supply and stockage policies. A corresponding result is also given for stochastic games.

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1970
Accession Number
AD0704567

Entities

People

  • B. L. Fox

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Air Force
  • Computer Programming
  • Dynamic Programming
  • Inventory
  • Inventory Control
  • Mathematics
  • Sequences

Readers

  • Computer Programming and Software Development.
  • Linear Algebra
  • Logistics and Supply Chain Management.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers