The Vanishing Discount Approach in a class of Zero-Sum Finite Games with Risk-Sensitive Average Criterion
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Publication:4611400
DOI10.1137/18M1165104zbMath1419.91064OpenAlexW2909516749WikidataQ128592243 ScholiaQ128592243MaRDI QIDQ4611400
Daniel Hernández-Hernández, Rolando Cavazos-Cadena
Publication date: 18 January 2019
Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/18m1165104
zero-sum gameequality of the upper and lower value functionssimultaneous Doeblin conditioncommunicating transition lawdiscounted approximationsexponential disutility function
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Cites Work
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- Long run risk sensitive portfolio with general factors
- Stationary Markov perfect equilibria in risk sensitive stochastic overlapping generations models
- Markov decision processes with applications to finance.
- Zero-sum risk-sensitive stochastic games
- Solutions of the average cost optimality equation for finite Markov decision chains: Risk-sensitive and risk-neutral criteria
- Risk sensitive control of Markov processes in countable state space
- Infinite horizon risk sensitive control of discrete time Markov processes with small risk
- Adaptive Markov control processes
- Existence of risk-sensitive optimal stationary policies for controlled Markov 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
- Discounted approximations to the risk-sensitive average cost in finite Markov chains
- Zero-sum risk-sensitive stochastic games on a countable state space
- Average optimality for risk-sensitive control with general state space
- Non-negative matrices and Markov chains.
- Nash equilibria in risk-sensitive dynamic games
- The vanishing discount approach in Markov chains with risk-sensitive criteria
- Risk-Sensitive Markov Control Processes
- ENTROPIC RISK MEASURES: COHERENCE VS. CONVEXITY, MODEL AMBIGUITY AND ROBUST LARGE DEVIATIONS
- A Turnpike Theorem For A Risk-Sensitive Markov Decision Process with Stopping
- Discrete-Time Controlled Markov Processes with Average Cost Criterion: A Survey
- Risk-Sensitive Control of Discrete-Time Markov Processes with Infinite Horizon
- More Risk-Sensitive Markov Decision Processes
- Vanishing discount approximations in controlled Markov chains with risk-sensitive average criterion
- 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
- Minimax Theorems