70478

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Machine Learning with Reinforcement for Optimal and Adaptive Estimation Problems in Navigation Applications

Электронная публикация: 

Да

ISBN/ISSN: 

978-591995084-4

DOI: 

10.23919/ICINS51784.2022.9815421

Наименование конференции: 

  • 29th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2022)

Наименование источника: 

  • Proceedings of the 29th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2022)

Город: 

  • Saint Petersburg

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

https://ieeexplore.ieee.org/document/9815421
Аннотация
The statement and solution of the nonlinear estimation problem by the minimization of the root-mean-square criterion based on neural algorithms are given both within the Bayesian approach using a training set for supervised learning in off-line mode and within the framework of the least squares method in the presence of a measurement equation for the reinforcement learning on-line mode. An illustrative example is considered.

Библиографическая ссылка: 

Амосов О.С., Амосова С.Г. Machine Learning with Reinforcement for Optimal and Adaptive Estimation Problems in Navigation Applications / Proceedings of the 29th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2022). Saint Petersburg: IEEE, 2022. С. https://ieeexplore.ieee.org/document/9815421.