Ergodic Control of Markov Chains with Constraints—the General Case
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Control and Optimization
Link
http://epubs.siam.org/doi/pdf/10.1137/S1052623491218895
Reference19 articles.
1. Markov Decision Problems and State-Action Frequencies
2. Adaptive control of constrained Markov chains
3. On a useful compactification for optimal control problems
4. Optimal policies for controlled Markov chains with a constraint
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1. A note on the existence of optimal stationary policies for average Markov decision processes with countable states;Automatica;2023-05
2. On Linear Programming for Constrained and Unconstrained Average-Cost Markov Decision Processes with Countable Action Spaces and Strictly Unbounded Costs;Mathematics of Operations Research;2021-12-15
3. Constrained discounted Markov decision processes with Borel state spaces;Automatica;2020-01
4. On infinite dimensional linear programming approach to stochastic control * *This research is partially supported by M. Kamgarpour’s European Union ERC Starting Grant, CONENE and by T. Summers’ the US National Science Foundation under grant CNS-1566127.;IFAC-PapersOnLine;2017-07
5. Optimality of Mixed Policies for Average Continuous-Time Markov Decision Processes with Constraints;Mathematics of Operations Research;2016-11
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