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Sensing-Error-Aware UAV Scheduling Based on Generative Diffusion-Driven MADRL for ISAC-Enabled Multi-UAV Systems 期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2026, 卷号: 25, 页码: 9782-9798
作者:  Wu, Yihao;  Yu, Hanxiao;  Zhou, Yiqing;  Shi, Ningzhe;  Cai, Qing;  Shi, Jinglin
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Sensors  Autonomous aerial vehicles  Optimization  Resource management  Integrated sensing and communication  Wireless communication  Heuristic algorithms  Trajectory  Diffusion models  Wireless sensor networks  Generative diffusion model  integrated sensing and communication  sensing error  multi-agent reinforcement learning  uncrewed aerial vehicle  
Joint optimization of data sensing and computing in the air-ground collaborative inference framework: A multi-agent hybrid-action DRL approach 期刊论文
COMPUTER NETWORKS, 2025, 卷号: 270, 页码: 13
作者:  Fan, Xiaokun;  Chen, Yali;  Liu, Min;  Zhu, Yuchen;  Li, Zhongcheng
收藏  |  浏览/下载：27/0  |  提交时间：2025/12/03
Edge computing  Joint sensing and computing  Multi-agent deep reinforcement learning  Unmanned aerial vehicle  Video surveillance  
Multi-UAV Cooperative Target Search Based on Autonomous Connectivity in Uncertain Network Environment 期刊论文
CHINA COMMUNICATIONS, 2025, 卷号: 22, 期号: 8, 页码: 257-280
作者:  Wang, Shan;  Sheng, Sun;  Min, Liu;  Wang, Yuwei;  Chen, Yali;  Liu, Danni;  Lin, Fuhong
收藏  |  浏览/下载：26/0  |  提交时间：2025/12/03
autonomous connectivity  multi-agent reinforcement learning  multi-UAV collaboration  path planning  target search  
Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:  Du, Wei;  Ding, Shifei;  Zhang, Chenglong;  Shi, Zhongzhi
收藏  |  浏览/下载：75/0  |  提交时间：2023/07/12
Reinforcement learning  Multi-agent systems  Aggregates  Task analysis  Scalability  Marine vehicles  Learning systems  Graph attention network  heterogeneous agents  multiagent reinforcement learning (MARL)  relationship-level attention  
Cooperatively Improving Data Center Energy Efficiency Based on Multi-Agent Deep Reinforcement Learning 期刊论文
ENERGIES, 2021, 卷号: 14, 期号: 8, 页码: 32
作者:  Chi, Ce;  Ji, Kaixuan;  Song, Penglei;  Marahatta, Avinab;  Zhang, Shikui;  Zhang, Fa;  Qiu, Dehui;  Liu, Zhiyong
收藏  |  浏览/下载：94/0  |  提交时间：2021/12/01
data center  energy efficiency  deep reinforcement learning  multi-agent  scheduling algorithm  cooling system