Blackwell optimality and policy stability for long-run risk-sensitive stochastic control
DOI10.1137/24M1671335MaRDI QIDQ6652399
Marcin Pitera, Łukasz Stettner, Nicole Bäuerle
Publication date: 12 December 2024
Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)
risk-sensitive stochastic controlMarkov decision process (MDP)vanishing discountlong time horizonblackwell optimalityentropic utilityspan-contraction approach
Discrete-time Markov processes on general state spaces (60J05) Discrete-time control/observation systems (93C55) Dynamic programming (90C39) Optimal stochastic control (93E20) Markov and semi-Markov decision processes (90C40) Transition functions, generators and resolvents (60J35)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Markov decision processes with applications to finance.
- Necessary and sufficient conditions for a solution to the risk-sensitive Poisson equation on a finite state space
- Sets of nonnegative matrices with positive inhomogeneous products
- Representation results for law invariant time consistent functions
- Continuity of the optimal average cost in Markov decision chains with small risk-sensitivity
- Discounted approximations to the risk-sensitive average cost in finite Markov chains
- Markov decision processes with a new optimality criterion: Discrete time
- The vanishing discount approach in Markov chains with risk-sensitive criteria
- Discounted Approximations for Risk-Sensitive Average Criteria in Markov Decision Chains with Finite State Space
- A CONVEXITY PROPERTY OF POSITIVE MATRICES
- Average, Sensitive and Blackwell Optimal Policies in Denumerable Markov Decision Chains with Unbounded Rewards
- A Utility Criterion for Markov Decision Processes
- A note on a new class of recursive utilities in Markov decision processes
- Risk-Sensitive Control of Discrete-Time Markov Processes with Infinite Horizon
- Uniform Turnpike Theorems for Finite Markov Decision Processes
- More Risk-Sensitive Markov Decision Processes
- Vanishing discount approximations in controlled Markov chains with risk-sensitive average criterion
- Discrete Dynamic Programming
- Risk-Sensitive Markov Decision Processes
- Primitivity and Hurwitz Primitivity of Nonnegative Matrix Tuples: A Unified Approach
- Contractive approximations in average Markov decision chains driven by a risk-seeking controller
- Certainty equivalent control of discrete time Markov processes with the average reward functional
- Markov decision processes with risk-sensitive criteria: an overview
- Existence of bounded solutions to multiplicative Poisson equations under mixing property
- Discrete time risk sensitive control problem
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