Asymptotic Normality of Discrete-Time Markov Control Processes
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Publication:4933199
DOI10.1239/jap/1285335409zbMath1200.93138OpenAlexW2158364346MaRDI QIDQ4933199
Onésimo Hernández-Lerma, Armando Felipe Mendoza-Pérez
Publication date: 12 October 2010
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1239/jap/1285335409
Central limit and other weak theorems (60F05) Discrete-time Markov processes on general state spaces (60J05) Optimal stochastic control (93E20) Markov and semi-Markov decision processes (90C40)
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Cites Work
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- Markov chains and stochastic stability
- Markov control processes with pathwise constraints
- Variance minimization and the overtaking optimality approach to continuous-time controlled Markov chains
- Two extensions of asymptotic methods in controlled Markov chains
- Bias optimality versus strong 0-discount optimality in Markov control processes with unbounded costs
- Polynomial convergence rates of Markov chains
- Zero-Sum Stochastic Games in Borel Spaces: Average Payoff Criteria
- Markov Decision Processes with Variance Minimization: A New Condition and Approach
- Infinite-horizon Markov control processes with undiscounted cost criteria: from average to overtaking optimality
- Semi-Markov control models with average costs
- Estimation and control in Markov chains
- Average cost Markov control processes with weighted norms: existence of canonical policies
- Average cost Markov control processes with weighted norms: value iteration
- Average Optimality in Markov Control Processes via Discounted-Cost Problems and Linear Programming
- Sample-Path Optimality and Variance-Minimization of Average Cost Markov Control Processes
