Existence of optimal stationary policies in average reward Markov decision processes with a recurrent state
- 1 September 1992
- journal article
- Published by Springer Nature in Applied Mathematics & Optimization
- Vol. 26 (2) , 171-194
- https://doi.org/10.1007/bf01189029
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Necessary conditions for the optimality equation in average-reward Markov decision processesApplied Mathematics & Optimization, 1989
- Necessary and sufficient conditions for a bounded solution to the optimality equation in average reward Markov decision chainsSystems & Control Letters, 1988
- A new condition for the existence of optimal stationary policies in average cost Markov decision processesOperations Research Letters, 1986
- Introduction to Stochastic Dynamic Programming.Journal of the American Statistical Association, 1986
- Stability, parameter estimation and adaptive control for discrete-time competing queuesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- Conditions for the Equivalence of Optimality Criteria in Dynamic ProgrammingThe Annals of Statistics, 1976
- Applied Probability Models with Optimization Applications.Journal of the American Statistical Association, 1971
- Foundations of Non-stationary Dynamic Programming with Discrete Time ParameterPublished by Springer Nature ,1970
- Principles of Mathematical Analysis. By Walter Rudin. Pp. x, 227. 40s. 1953. (McGraw-Hill) - Theory of Functions of Real Variable. By Henry P. Thielman. Pp. xiv, 209. 35s. 1953. (Butterworth Scientific Publications, London)The Mathematical Gazette, 1955