Open AccessAn approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning
Author(s) -
Shixuan Yao,
Xiaochen Liu,
Yinghui Zhang,
Zhiwen Cui
Publication year - 2022
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2022430
Subject(s) - reinforcement learning , hamilton–jacobi–bellman equation , computer science , temporal difference learning , bellman equation , dynamic programming , stability (learning theory) , function (biology) , lyapunov function , artificial intelligence , process (computing) , optimal control , inverted pendulum , nonlinear system , artificial neural network , mathematical optimization , control theory (sociology) , control (management) , machine learning , mathematics , algorithm , evolutionary biology , quantum mechanics , biology , operating system , physics