Robot Search Path Planning Method Based on Prioritized Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Robot Search Path Planning Method Based on Prioritized Deep Reinforcement Learning

Published:2022-07-12 Issue:8 Volume:20 Page:2669-2680
ISSN:1598-6446
Container-title:International Journal of Control, Automation and Systems
language:en
Short-container-title:Int. J. Control Autom. Syst.

Author:

Liu Yanglong,Chen Zuguo^ORCID,Li Yonggang,Lu Ming,Chen Chaoyang,Zhang Xuzhuo

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12555-020-0788-8.pdf

Reference34 articles.

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3. D. Zhao, L. Liu, F. Yu, A. A. Heidari, M. Wang, G. Liang, K. Muhammad, and H. Chen, “Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy,” Knowledge-based Systems, vol. 216, p. 106510, March 2021.

4. A. A. Heidari, S. Mirjalili, H. Faris, I. Aljarah, M. Mafarja, and H. Chen, “Harris hawks optimization: Algorithm and applications,” Future Generation Computer Systems, vol. 97, pp. 849–872, August 2019.

5. X. Yang, Y. Zhang, W. Yang, H. J. Zhang, and H. Chang, “Research on path planning of indoor mobile robot,” Science Technology and Engineering, vol. 16, no. 15, pp. 234–238, May 2016.

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