Enviar artigo por via de e-mail Reinforcement Learning for Model Problems of Optimal Control
- Autores: Semenov S.1, Tsurkov V.2
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Afiliações:
- Moscow Institute of Physics and Technology, 141701, Dolgoprudny, Moscow Oblast, Russia
- Federal Research Center “Computer Science and Control,” Russian Academy of Sciences, 119333, Moscow, Russia
- Edição: Nº 3 (2023)
- Páginas: 76-89
- Seção: ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ
- URL: https://journals.rcsi.science/0002-3388/article/view/136878
- DOI: https://doi.org/10.31857/S0002338823030125
- EDN: https://elibrary.ru/EVAFAM
- ID: 136878
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Resumo
The functionals of dynamic systems of various types are optimized using modern methods of reinforcement learning. The linear resource allocation problem, as well as the optimal consumption problem and its stochastic modifications are considered. In the reinforcement learning strategy gradient methods are used.
Sobre autores
S. Semenov
Moscow Institute of Physics and Technology, 141701, Dolgoprudny, Moscow Oblast, Russia
Email: semenov.ss@phystech.edu
Россия, МО, Долгопрудный
V. Tsurkov
Federal Research Center “Computer Science and Control,” Russian Academy of Sciences, 119333, Moscow, Russia
Autor responsável pela correspondência
Email: tsur@ccas.ru
Россия, Москва
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