Reinforcement learning method for target hunting control of multi‐robot systems with obstacles-Reference-Cited by-同舟云学术

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

Published:2022-08-31 Issue:12 Volume:37 Page:11275-11298
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Fan Zhilin¹^ORCID,Yang Hongyong¹^ORCID,Liu Fei¹^ORCID,Liu Li¹,Han Yilin¹

Affiliation:

1. School of Information and Electrical Engineering Ludong University Yantai China

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.23042

Reference41 articles.

1. Adaptive heterogeneous multi-robot collaboration from formal task specifications

2. Robust flocking of multiple intelligent agents with multiple disturbances

3. Optimal control of distributed multiagent systems with finite‐time group flocking

4. Searchable Symmetric Encryption with Forward Search Privacy

5. The Dynamic Privacy-preserving Mechanisms for Online Dynamic Social Networks

Cited by 2 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. A novel approach for locating and hunting dynamic targets in unknown environments;Progress in Artificial Intelligence;2024-05-15

2. Deep Reinforcement Learning Method of Target Hunting for Multi-agents with Flocking Property;International Conference on Neural Computing for Advanced Applications;2023

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