On a class of non-Markov decision processes
- 1 December 1978
- journal article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 15 (4) , 689-698
- https://doi.org/10.2307/3213426
Abstract
The optimal strategy for a class of non-Markov decision processes is characterised and has the property that changes of action may occur between successive transitions of the process. Results are given which enable the optimal strategy to be computed iteratively.Keywords
This publication has 1 reference indexed in Scilit:
- On Bayesian models in stochastic schedulingJournal of Applied Probability, 1977