bibtype C - Conference Paper (international conference)
ARLID 0393337
utime 20240103202653.3
mtime 20140314235959.9
title (primary) (eng) Cumulative Optimality in Risk-Sensitive and Risk-Neutral Markov Reward Chains
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0395722
ISBN 978-80-87035-76-4
title Proceedings of the 31st International Conference Mathematical Methods in Economics 2013
publisher
place Jihlava
name College of Polytechnics Jihlava
year 2013
editor
name1 Vojáčková
name2 Hana
keyword dynamic programming
keyword stochastic models
keyword risk analysis and management
author (primary)
ARLID cav_un_auth*0101196
name1 Sladký
name2 Karel
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2013/E/sladky-cumulative optimality in risk-sensitive and risk-neutral markov reward chains.pdf
cas_special
project
project_id GA13-14445S
agency GA ČR
ARLID cav_un_auth*0292652
project
project_id GAP402/11/0150
agency GA ČR
ARLID cav_un_auth*0273629
abstract (eng) This contribution is devoted to risk-sensitive and risk-neutral optimality in Markov decision chains. Since the traditional optimality criteria (e.g. discounted or average rewards) cannot reflect the variability-risk features of the problem, and using the mean variance selection rules that stem from the classical work of Markowitz present some technical difficulties, we are interested in expectation of the stream of rewards generated by the Markov chain that is evaluated by an exponential utility function with a given risk sensitivity coefficient. Recall that for the risk sensitivity coefficient equal zero we arrive at¨traditional optimality criteria. In this note we present necessary and sufficient risk-sensitivity and risk-neutral optimality conditions; in detail for unichain models and indicate their generalization to multichain Markov reward chains.
action
ARLID cav_un_auth*0292039
name MME 2013. International Conference on Mathematical Methods in Economics 2013 /31./
place Jihlava
dates 11.09.2013-13.09.2013
country CZ
reportyear 2014
RIV BB
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0222069
mrcbC61 1
confidential S
arlyear 2013
mrcbU63 cav_un_epca*0395722 Proceedings of the 31st International Conference Mathematical Methods in Economics 2013 978-80-87035-76-4 Jihlava College of Polytechnics Jihlava 2013
mrcbU67 Vojáčková Hana 340