Oracle-Guided Deep Reinforcement Learning for Large-Scale Multi-UAVs Flocking and Navigation
Author:
Affiliation:
1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
2. National Experimental Teaching Demonstration Center of Computer Science Technology and Software Engineering, Nanjing University, Nanjing, China
Funder
National Key R&D Program of China
Collaborative Innovation Center of Novel Software Technology and Industrialization
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/9920678/09800197.pdf?arnumber=9800197
Cited by 6 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. Safety-Guaranteed Learning-Based Flocking Control Design;IEEE Control Systems Letters;2024
2. Enhancing UAV navigation with dynamic programming and hybrid probabilistic route mapping: an improved dynamic window approach;International Journal of Information Technology;2023-12-26
3. Tactical conflict resolution in urban airspace for unmanned aerial vehicles operations using attention-based deep reinforcement learning;Green Energy and Intelligent Transportation;2023-08
4. A novel fractional-order flocking algorithm for large-scale UAV swarms;Complex & Intelligent Systems;2023-06-05
5. Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey;Sensors;2023-03-30
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