Markov decision processes with recursive risk measures
Year of publication: |
2022
|
---|---|
Authors: | Bäuerle, Nicole ; Glauer, Alexander |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 296.2022, 3 (1.2.), p. 953-966
|
Subject: | Dynamic programming | Risk-sensitive Markov decision process | Risk measure | Robustness | Markov-Kette | Markov chain | Theorie | Theory | Entscheidung | Decision | Risiko | Risk | Dynamische Optimierung | Risikomaß | Mathematische Optimierung | Mathematical programming | Messung | Measurement |
-
Minimizing spectral risk measures applied to Markov decision processes
Bäuerle, Nicole, (2021)
-
Risk filtering and risk-averse control of Markovian systems subject to model uncertainty
Bielecki, Tomasz R., (2023)
-
Rectangular sets of probability measures
Shapiro, Alexander, (2016)
- More ...
-
Minimizing spectral risk measures applied to Markov decision processes
Bäuerle, Nicole, (2021)
-
Optimal deterministic investment strategies for insurers
Bäuerle, Nicole, (2013)
-
Exact and approximate hidden Markov chain filters based on discrete observations
Bäuerle, Nicole, (2015)
- More ...