Title
Extreme point characterization of constrained nonstationary infinite-horizon Markov decision processes with finite state space.
Abstract
We study infinite-horizon nonstationary Markov decision processes with discounted cost criterion, finite state space, and side constraints. This problem can equivalently be formulated as a countably infinite linear program (CILP), a linear program with countably infinite number of variables and constraints. We provide a complete algebraic characterization of extreme points of the CILP formulation and illustrate the characterization for special cases. The existence of a K-randomized optimal policy for a problem with K side constraints also follows from this characterization.
Year
DOI
Venue
2014
10.1016/j.orl.2014.03.001
Operations Research Letters
Keywords
Field
DocType
Extreme point,Markov decision process,Constrained optimization,Countably infinite linear program
Extreme point,Combinatorics,Mathematical optimization,Algebraic number,Countable set,Markov decision process,Finite state,Infinite horizon,Linear programming,Mathematics,Constrained optimization
Journal
Volume
Issue
ISSN
42
3
0167-6377
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Ilbin Lee131.44
Marina A. Epelman220918.62
H. Edwin Romeijn376983.88
Robert L. Smith4664123.86