SOME BOUNDS ON INFINITE HORIZON DISCOUNTED SEQUENTIAL DECISION PROCESSES,

Abstract

New improved bounds are obtained on the optimal return function for many infinite horizon discounted sequential decision processes. The susceptible processes must satisfy what is called the 'discounting' property. Processes satisfying the contraction and monotonicity properties qualify. Certain subprocesses are exploited, based on the simple notion of taking only those states which are relevant into consideration. Some existing algorithms and some of their obvious extensions are listed. The possibility of identifying nonoptimal decisions is included. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1970
Accession Number
AD0710328

Entities

People

  • Evan L. Porteus

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms

Readers

  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design