Integral reinforcement learning solutions for a synchronisation system with constrained policies-Reference-Cited by-同舟云学术

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Integral reinforcement learning solutions for a synchronisation system with constrained policies

Published:2020-07-07 Issue:12 Volume:14 Page:1599-1611
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Abouheaf Mohammed¹²,Mahmoud Magdi S.³,Gueaieb Wail¹^ORCID

Affiliation:

1. School of Electrical Engineering and Computer ScienceFaculty of EngineeringUniversity of OttawaOttawaONK1N 6N5Canada

2. Electrical Engineering, College of Energy Engineering, Aswan UniversityAswan81521Egypt

3. Systems Engineering, King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2019.0397

Reference51 articles.

1. Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality

2. Multi-agent discrete-time graphical games and reinforcement learning solutions

3. Tracking control for multi-agent consensus with an active leader and variable topology

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Adaptive Fuzzy Reinforcement Learning Cooperative Approach for the Autonomous Control of Flock Systems;2021 IEEE International Conference on Robotics and Automation (ICRA);2021-05-30

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