Adaptive Policies for Markov Renewal Programs
Open Access
- 1 March 1973
- journal article
- Published by Institute of Mathematical Statistics in The Annals of Statistics
- Vol. 1 (2) , 334-341
- https://doi.org/10.1214/aos/1176342370
Abstract
We recast a class of denumerable-state, infinite-action Markov renewal programs with unknown parameters as one-state programs with actions corresponding to stationary policies in the original program. Under suitable conditions we find an adaptive (nonstationary) optimal policy in the sense of maximizing long-run expected reward per unit time.Keywords
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