Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning

Xuanhan Zhou; Jun Xiong; Haitao Zhao; Xiaoran Liu; Baoquan Ren; Xiaochen Zhang; Jibo Wei; Hao Yin

doi:10.1007/s11432-023-3906-3

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Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning

Xuanhan Zhou Jun Xiong Haitao Zhao Xiaoran Liu Baoquan Ren Xiaochen Zhang Jibo Wei Hao Yin

Year: 2024 Journal: Science China Information Sciences Vol: 67 (3) Publisher: Springer Nature

DOI: 10.1007/s11432-023-3906-3

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Keywords:

Reinforcement learning Trajectory Joint (building) Computer science Reinforcement Joint attention Human–computer interaction Artificial intelligence Simulation Engineering Psychology Structural engineering Physics

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UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Air Traffic Management and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning

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