Tuning heuristics and convergence analysis of reinforcement learning algorithm for online data-based optimal control design

Autor: Fabio Nogueira Da Silva, João Viana da Fonseca Neto

Publikováno v: Research, Society and Development, Vol 9, Iss 2, Pp e188922128-e188922128 (2020)
Research, Society and Development; Vol. 9 No. 2; e188922128
Research, Society and Development; Vol. 9 Núm. 2; e188922128
Research, Society and Development; v. 9 n. 2; e188922128
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI

A heuristic for tuning and convergence analysis of the reinforcement learning algorithm for control with output feedback with only input / output data generated by a model is presented. To promote convergence analysis, it is necessary to perform the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::645ecaacc0225a9f14e6c83a9ab6009b
https://rsd.unifei.edu.br/index.php/rsd/article/view/2128