Автор(ы): Лаптин В. А. (МГУ им. М.В. Ломоносова)Мандель А. С. (ИПУ РАН, Лаборатория 25)Автор(ов): 2 Параметры публикацииТип публикации: ДокладНазвание: Controlled Markov Queueing Systems under UncertaintyЭлектронная публикация: ДаISBN/ISSN: 978-3-031-30648-8DOI: https://doi.org/10.1007/978-3-031-30648-8_20Наименование конференции: 25th International Conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2022)Наименование источника: Lecture Note Computer Sciences (25th International Conference DCCN2022 Moscow)Обозначение и номер тома: Vol. 1748Город: МоскваИздательство: Springer LinkГод издания: 2022Страницы: 246-256 АннотацияWe investigate a model of a multilinear queueing system (QS) with channel switching under uncertainty, when statistical characteristics of the homogeneous Markov chain, which describes the transition probabilities of the environment from state to state, are unknown. Several reinforcement learning algorithms have been proposed to control such a system. Библиографическая ссылка: Лаптин В.А., Мандель А.С. Controlled Markov Queueing Systems under Uncertainty / Lecture Note Computer Sciences (25th International Conference DCCN2022 Moscow). М.: Springer Link, 2022. Vol. 1748. С. 246-256.
