Markov Decision Processes with Exogenous Variables
Robert L. Bray ()
Additional contact information 
Robert L. Bray: Kellogg School of Management, Northwestern University, Evanston, Illinois 60208-0814
Management Science, 2019, vol. 65, issue 10, 4598-4606
Abstract:
I present two algorithms for solving dynamic programs with exogenous variables: endogenous value iteration and endogenous policy iteration. These algorithms are always at least as fast as relative value iteration and relative policy iteration, and they are faster when the endogenous variables converge to their stationary distributions sooner than the exogenous variables.
Keywords: Markov decision process; dynamic programming; endogenous value iteration; relative value iteration; exogenous variables (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc 
Citations: 
Downloads: (external link)
https://doi.org/10.1287/mnsc.2018.3158 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX 
RIS (EndNote, ProCite, RefMan) 
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:65:y:2019:i:10:p:4598-4606
Access Statistics for this article
More articles in Management Science  from  INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().