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Optimizing Risk-Aware Task Migration Algorithm Among Multiplex UAV Groups Through Hybrid Attention Multi-Agent Reinforcement Learning

delete2025-02-01
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OA
AI
K
Kai Di
R
Ruiyi Qian
X
Xingyu Wu
F
Fulin Chen
P
Pan Li
X
Xiping Fu
Y
Yichuan Jiang *
DOI:10.26599/TST.2024.9010013delete
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摘要

摘要

En 中文
Recently, with the increasing complexity of multiplex Unmanned Aerial Vehicles (multi-UAVs) collaboration in dynamic task environments, multi-UAVs systems have shown new characteristics of inter-coupling among multiplex groups and intra-correlation within groups. However, previous studies often overlooked the structural impact of dynamic risks on agents among multiplex UAV groups, which is a critical issue for modern multi-UAVs communication to address. To address this problem, we integrate the influence of dynamic risks on agents among multiplex UAV group structures into a multi-UAVs task migration problem and formulate it as a partially observable Markov game. We then propose a Hybrid Attention Multi-agent Reinforcement Learning (HAMRL) algorithm, which uses attention structures to learn the dynamic characteristics of the task environment, and it integrates hybrid attention mechanisms to establish efficient intra- and inter-group communication aggregation for information extraction and group collaboration. Experimental results show that in this comprehensive and challenging model, our algorithm significantly outperforms state-of-the-art algorithms in terms of convergence speed and algorithm performance due to the rational design of communication mechanisms.
Keyword:
Task analysis
Autonomous aerial vehicles
Heuristic algorithms
Costs
Multiplexing
Reinforcement learning
Vehicle dynamics
Unmanned Aerial Vehicle (UAV)
multiplex UAV group structures
task migration
multi-agent reinforcement learning

期刊

T
Tsinghua Science and Technology
IF:
3.5
论文数:
987
被引数:
2.5K

机构

S
southeast university - china
学者数:
5.3W
论文数: 4.9W
被引数: 57
引用论文

引用论文

Multiagent Deep Reinforcement Learning for Vehicular Computation Offloading in IoT
err2021-06-15
err125
PREAI
errZhu, Xiaoyu; Luo, Yueyi; Liu, Anfeng; Bhuiyan, Md Zakirul Alam; Zhang, Shaobo
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