Text

A sensitivity analysis of the policy-iteration technique for solving Markovian decision problems

About this Digital Document

The policy-iteration technique is a method of selecting the optimal solution vector for a Markovian decision problem. This technique was analyzed to determine its sensitivity with respect to random errors in the stochastic elements in such problems.
Full Title
A sensitivity analysis of the policy-iteration technique for solving Markovian decision problems
Member of
Theses and Dissertations
Contributor(s)
Creator: Nutter, William L.
Thesis advisor: Adams, John W.
Publisher
Lehigh University
Date Issued
1968-04
Language
English
Type
Text
Genre
theses
Form
electronic documents
Department name
Industrial Engineering
Digital Format
electronic documents
Media type
application/pdf
Creator role
Graduate Student
Identifier
1048261742
https://asa.lib.lehigh.edu/Record/10946953
Keywords
Industrial engineering
Nutter, William L. (1968). A sensitivity analysis of the policy-iteration technique for solving Markovian decision problems (1–). https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/sensitivity-0
Nutter, William L. 1968. “A Sensitivity Analysis of the Policy-Iteration Technique for Solving Markovian Decision Problems”. https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/sensitivity-0.
Nutter, William L. A Sensitivity Analysis of the Policy-Iteration Technique for Solving Markovian Decision Problems. Apr. 1968, https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/sensitivity-0.