UAV Swarm Cooperative Target Search: A Multi-Agent Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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UAV Swarm Cooperative Target Search: A Multi-Agent Reinforcement Learning Approach

Published:2023 Issue: Volume: Page:1-11
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Hou Yukai¹^ORCID,Zhao Jin¹,Zhang Rongqing¹^ORCID,Cheng Xiang²^ORCID,Yang Liuqing³^ORCID

Affiliation:

1. School of Software Engineering, Tongji University, Shanghai, China

2. School of Electronics, Peking University, Beijing, China

3. Internet of Things Thrust & Intelligent Transportation Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/7448921/10254323.pdf?arnumber=10254323

Cited by 14 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. Network-Centric Formation Control and Ad Hoc Communication with Localisation Analysis in Multi-UAV Systems;Machines;2024-08-13

2. Reinforcement-Learning-Based Multi-UAV Cooperative Search for Moving Targets in 3D Scenarios;Drones;2024-08-06

3. Graph-based multi-agent reinforcement learning for collaborative search and tracking of multiple UAVs;Chinese Journal of Aeronautics;2024-08

4. Cooperative Target Fencing Control for Unmanned Aerial Vehicle Swarm with Collision, Obstacle Avoidance, and Connectivity Maintenance;Drones;2024-07-11

5. Multi-AUV underwater static target search method based on consensus-based bundle algorithm and improved Glasius bio-inspired neural network;Information Sciences;2024-07

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