By Topic

Nonatomic total rewards Markov decision processes with multiple criteria

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
E. A. Feinberg ; Dept. of Appl. Math. & Stat., State Univ. of New York, Stony Brook, NY, USA ; A. B. Piunovskiy

We consider a Markov decision process with an uncountable state space for which the vector performance functional has the form of expected total rewards. Under the single condition that the fixed initial distribution and transition probabilities are nonatomic, we prove that for any policy there is a nonrandomized Markov policy such that for these two policies the performance vectors are equal

Published in:

Decision and Control, 2000. Proceedings of the 39th IEEE Conference on  (Volume:1 )

Date of Conference:

2000