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More than Lightening: A Self-supervised Low-light Image Enhancement Method Capable for Multiple Degradations 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 622-637
作者:  Han Xu;  Jiayi Ma;  Yixuan Yuan;  Hao Zhang;  Xin Tian;  Xiaojie Guo
Adobe PDF(25490Kb)  |  收藏  |  浏览/下载：68/9  |  提交时间：2024/02/19
Color correction  low-light image enhancement  self-supervised learning  
UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者:  Jiawen Kang;  Junlong Chen;  Minrui Xu;  Zehui Xiong;  Yutao Jiao;  Luchao Han;  Dusit Niyato;  Yongju Tong;  Shengli Xie
Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：86/20  |  提交时间：2024/01/23
Avatar  blockchain  metaverses  multi-agent deep reinforcement learning  transformer  UAVs  
Distributed Nash Equilibrium Seeking Strategies Under Quantized Communication 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 103-112
作者:  Maojiao Ye;  Qing-Long Han;  Lei Ding;  Shengyuan Xu;  Guobiao Jia
Adobe PDF(4308Kb)  |  收藏  |  浏览/下载：171/80  |  提交时间：2024/01/02
Consensus  distributed Nash equilibrium seeking  projected gradient play  quantized communication  
Fully Distributed Nash Equilibrium Seeking for High-Order Players With Actuator Limitations 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1434-1444
作者:  Maojiao Ye;  Qing-Long Han;  Lei Ding;  Shengyuan Xu
Adobe PDF(1869Kb)  |  收藏  |  浏览/下载：99/32  |  提交时间：2023/05/29
Actuator limitation  directed networks  games  Nash equilibrium  
Cooperative and Competitive Multi-Agent Systems: From Optimization to Games 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 763-783
作者:  Jianrui Wang;  Yitian Hong;  Jiali Wang;  Jiapeng Xu;  Yang Tang;  Qing-Long Han;  Jürgen Kurths
Adobe PDF(8407Kb)  |  收藏  |  浏览/下载：223/58  |  提交时间：2022/04/24
Cooperative games  counterfactual regret min- imization  distributed optimization  federated optimization  fictitious self-play  mean field games  multi-agent reinforcement learning  non-cooperative games