Twin delayed deep deterministic policy gradient-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage training

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Twin delayed deep deterministic policy gradient-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage training

Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It requires handling a high level of nonlinearity and dynamics. Model-free control effectively handles the uncertain nature of the problem, and reinforcement learning (RL)-based approaches are a good candidate...

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Bibliographic Details
Main Authors:	Abo Mosali, Najmaddin, Shamsudin, Syariful Syafiq, Alfandi, Omar, Omar, Rosli, AL-Fadhali, Najib
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers 2022
Subjects:	TL500-777 Aeronautics. Aeronautical engineering
Online Access:	http://eprints.uthm.edu.my/6913/ http://eprints.uthm.edu.my/6913/1/J14006_28269837c18b517045750a7bc07cf431.pdf

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