Online parameter adaptive control of mobile robots based on deep reinforcement learning under multiple optimisation objectives

Fixed control parameters and various optimisation objectives significantly limit the robot control performance. To address such issues, a parameter adaptive controller based on deep reinforcement learning is introduced firstly to adjust control parameters according to the real‐time system state. Fur...

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Veröffentlicht in:	Cognitive computation and systems Jg. 6; H. 4; S. 86 - 97
Hauptverfasser:	Sui, Xiuli, Chen, Haiyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht John Wiley & Sons, Inc 01.12.2024 Wiley
Schlagworte:	Adaptation Control algorithms Controllers Deep learning Design learning (artificial intelligence) mobile robots Neural networks Objectives Real time Reinforcement Robots
ISSN:	2517-7567, 1873-9601, 2517-7567, 1873-961X
Online-Zugang:	Volltext
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