Risk-sensitive discounted Markov decision processes with unbounded reward functions and Borel spaces
Author:
Affiliation:
1. School of Science, Sun Yat-sen University, Guangzhou, People's Republic of China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/17442508.2024.2314462
Reference17 articles.
1. Risk-sensitive dividend problems
2. More Risk-Sensitive Markov Decision Processes
3. Partially Observable Risk-Sensitive Markov Decision Processes
4. Risk sensitive control of finite state Markov chains in discrete time, with applications to portfolio management
5. Risk-Sensitive Optimal Control for Markov Decision Processes with Monotone Cost
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1. Correction;Stochastics;2024-08-02
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