Policy iteration reinforcement learning-based control using a grey wolf optimizer algorithm

DOI10.1016/J.INS.2021.11.051OpenAlexW3216940482WikidataQ115042018 ScholiaQ115042018MaRDI QIDQ6149510

Radu-Emil Precup, Iuliu Alexandru Zamfirache, Emil M. Petriu, Raul-Cristian Roman

Publication date: 5 February 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.11.051

zbMATH Keywords

reinforcement learningpolicy iterationservo systemsgrey wolf optimizerNN trainingoptimal reference tracking control

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical optimization and variational techniques (65K10) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Adaptive quadratic optimisation with application to kinematic control of redundant robot manipulators

Cites Work

• Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems
• Control of blood glucose for type-1 diabetes by using reinforcement learning with feedforward algorithm
• Inspired grey wolf optimizer for solving large-scale function optimization problems
• Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints
• Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers

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