Reinforcement learning method for target hunting control of multi‐robot systems with obstacles

Aiming at the target encirclement problem of multi‐robot systems, a target hunting control method based on reinforcement learning is proposed. First, the Markov game modeling for the multi‐robot system is carried out. According to the task of hunting, potential energy models are designed to meet the...

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Veröffentlicht in:	International journal of intelligent systems Jg. 37; H. 12; S. 11275 - 11298
Hauptverfasser:	Fan, Zhilin, Yang, Hongyong, Liu, Fei, Liu, Li, Han, Yilin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York John Wiley & Sons, Inc 01.12.2022
Schlagworte:	Algorithms Control methods Control systems Hunting Intelligent systems Machine learning multi‐robot systems Obstacle avoidance Potential energy potential energy function reinforcement learning Robot control Robots Strategy target hunting Teaching methods Tracking
ISSN:	0884-8173, 1098-111X
Online-Zugang:	Volltext
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