Attention-Based Population-Invariant Deep Reinforcement Learning for Collision-Free Flocking with A Scalable Fixed-Wing UAV Swarm-Reference-Cited by-同舟云学术

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Attention-Based Population-Invariant Deep Reinforcement Learning for Collision-Free Flocking with A Scalable Fixed-Wing UAV Swarm

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Yan Chao¹,Low Kin Huat²,Xiang Xiaojia¹,Hu Tianjiang³,Shen Lincheng¹

Affiliation:

1. College of Intelligence Science and Technology, National University of Defense Technology,Changsha,Hunan,China,410073

2. School of Mechanical and Aerospace Engineering, Nanyang Technological University (NTU),Singapore,639798

3. School of Aeronautics and Astronautics, Sun Yat-sen University,Guangzhou,Guangdong,China,510725

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981429.pdf?arnumber=9981429

Reference29 articles.

1. Autonomous recovery of a fixed-wing UAV using a net suspended by two multirotor UAVs

2. Implementation of Decentralized Reinforcement Learning-Based Multi-Quadrotor Flocking

3. Coordinated path-following control of fixed-wing unmanned aerial vehicles;chen;IEEE Transactions on Systems Man and Cybernetics Systems,2021

4. Formation flight of fixed-wing uav swarms: A group-based hierarchical approach;hao;Chinese Journal of Aeronautics,2021

5. Flocking Control of UAV Swarms with Deep Reinforcement Leaming Approach

Cited by 1 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. Improving Sample Efficiency of Multiagent Reinforcement Learning With Nonexpert Policy for Flocking Control;IEEE Internet of Things Journal;2023-08-15

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