bibtype C - Conference Paper (international conference)
ARLID 0583563
utime 20250131155208.1
mtime 20240304235959.9
title (primary) (eng) Average Reward Optimality in Semi-Markov Decision Processes with Costly Interventions
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0583562
ISBN 978-80-11-04132-8
ISSN 2788-3965
title Proceedings of the 41st International Conference on Mathematical Methods in Econometrics
page_num 378-383
publisher
place Praha
name The Czech Society of Operations Research
year 2023
editor
name1 Sekničková
name2 Jana
editor
name1 Holý
name2 Vladimír
keyword controlled semi-Markov reward processes
keyword long-run optimality
keyword intervention of the decision maker
author (primary)
ARLID cav_un_auth*0101196
name1 Sladký
name2 Karel
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
share 100
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2023/E/sladky-0583563.pdf
cas_special
abstract (eng) In this note we consider semi-Markov reward decision processes evolving on finite state spaces. We focus attention on average reward models, i.e. we establish explicit formulas for the growth rate of the total expected reward. In contrast to the standard models we assume that the decision maker can also change the running process by some (costly) intervention. Recall that the result for optimality criteria for the classical Markov decision chains in discrete and continuous time setting turn out to be a very specific case of the considered model. The aim is to formulate optimality conditions for semi-Markov models with interventions and present algorithmical procedures for finding optimal solutions.
action
ARLID cav_un_auth*0464093
name MME 2023: Mathematical Methods in Economics /41./
dates 20230913
mrcbC20-s 20230915
place Prague
url mme2023.vse.cz
country CZ
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2024
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0351597
confidential S
arlyear 2023
mrcbU02 C
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0583562 Proceedings of the 41st International Conference on Mathematical Methods in Econometrics The Czech Society of Operations Research 2023 Praha 378 383 978-80-11-04132-8 2788-3965
mrcbU67 Sekničková Jana 340
mrcbU67 Holý Vladimír 340