Title
Exponential Convergence in Undiscounted Continuous-Time Markov Decision Chains
Abstract
In this paper, we analyze the asymptotic behaviour of the value function vt of an undiscounted continuous-time Markov decision chain. Both the state space and the action space are assumed to be finite. A new proof of the convergence of vt-tg is presented where g denotes the maximal expected average reward over an infinite time horizon. Moreover, it is shown that this convergence is exponential.
Year
DOI
Venue
1987
10.1287/moor.12.4.700
Math. Oper. Res.
Keywords
DocType
Volume
average reward criterion,continuous time,undiscounted continuous-time markov decision,markov decision chain,value function,exponential convergence
Journal
12
Issue
ISSN
Citations 
4
0364-765X
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
W. H. M. Zijm116223.24