An approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning | Zendy

Shixuan Yao | Zendy; Xiaochen Liu | Zendy; Yinghui Zhang | Zendy; Ze Cui | Zendy

Open Access

An 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,

Ze 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 , stability (learning theory) , function (biology) , dynamic programming , lyapunov function , process (computing) , artificial intelligence , inverted pendulum , nonlinear system , mathematical optimization , optimal control , artificial neural network , machine learning , mathematics , algorithm , physics , evolutionary biology , quantum mechanics , biology , operating system

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