Characterization of the optimal average cost in Markov decision chains driven by a risk-seeking controller
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Publication:6198981
DOI10.1017/jpr.2023.40OpenAlexW4385065077MaRDI QIDQ6198981
Hugo Cruz-Suárez, Rolando Cavazos-Cadena, Raúl Montes-De-oca
Publication date: 23 February 2024
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/jpr.2023.40
exponential utilityoptimality inequalityoptional sampling theoremtruncated cost functionextended Collatz-Wielandt formularisk-Lover controller
Cites Work
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- Long run risk sensitive portfolio with general factors
- Markov decision processes with applications to finance.
- Solutions of the average cost optimality equation for finite Markov decision chains: Risk-sensitive and risk-neutral criteria
- Adaptive Markov control processes
- Spectral theory and limit theorems for geometrically ergodic Markov processes
- Multiplicative ergodicity and large deviations for an irreducible Markov chain.
- Risk sensitive portfolio optimization
- Average optimality for risk-sensitive control with general state space
- A Turnpike Theorem For A Risk-Sensitive Markov Decision Process with Stopping
- Risk-Sensitive Control of Discrete-Time Markov Processes with Infinite Horizon
- Characterization of the Optimal Risk-Sensitive Average Cost in Denumerable Markov Decision Chains
- Infinite Horizon Risk Sensitive Control of Discrete Time Markov Processes under Minorization Property
- Risk-Sensitive Markov Decision Processes
- Risk-Sensitive Optimal Control for Markov Decision Processes with Monotone Cost