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Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling 期刊论文
MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25
作者:  Peng, Shaoming;  Xiong, Gang;  Yang, Jing;  Shen, Zhen;  Tamir, Tariku Sinshaw;  Tao, Zhikun;  Han, Yunjun;  Wang, Fei-Yue
收藏  |  浏览/下载：44/0  |  提交时间：2024/03/13
production planning and scheduling  multi-agent reinforcement learning  flexible job shop  path flexibility  technological flexibility  
Mixture of personality improved spiking actor network for efficient multi-agent cooperation 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 14
作者:  Li, Xiyun;  Ni, Ziyi;  Ruan, Jingqing;  Meng, Linghui;  Shi, Jing;  Zhang, Tielin;  Xu, Bo
收藏  |  浏览/下载：61/0  |  提交时间：2023/11/17
multi-agent cooperation  personality theory  spiking actor networks  multi-agent reinforcement learning  theory of mind  
Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:  Li, Hongyang;  Wei, Qinglai
收藏  |  浏览/下载：52/0  |  提交时间：2023/11/17
Index Terms- Output cluster synchronization control  data-driven control  adaptive dynamic programming  policy iteration  heterogeneous multi-agent systems  optimal control  
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks 会议论文
, Washington DC, USA, 2023-2-7
作者:  Pei Xu;  Junge Zhang;  Qiyue Yin;  Chao Yu;  Yaodong Yang;  Kaiqi Huang
Adobe PDF(2037Kb)  |  收藏  |  浏览/下载：200/62  |  提交时间：2023/06/19
deep reinforcement learning  sparse reward  exploration  multi-agent  
Network-Wide Traffic Signal Control Based on MARL With Hierarchical Nash-Stackelberg Game Model 期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 145085-145100
作者:  Shen, Hui;  Zhao, Hongxia;  Zhang, Zundong;  Yang, Xun;  Song, Yutong;  Liu, Xiaoming
收藏  |  浏览/下载：17/0  |  提交时间：2024/02/22
Games  Roads  Approximation algorithms  Q-learning  Multi-agent systems  Process control  Optimization  Reinforcement learning  Traffic control  Network-wide traffic signal control  hierarchical game model  multi-agent reinforcement learning  
Practical Predefined-Time Output-Feedback Consensus Tracking Control for Multiagent Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Zou, An-Min;  Liu, Yangyang;  Hou, Zeng-Guang;  Hu, Zhipei
收藏  |  浏览/下载：221/0  |  提交时间：2022/11/14
Consensus control  Observers  Sliding mode control  Numerical stability  Multi-agent systems  Topology  Stability criteria  Consensus control  multiagent systems (MASs)  practical predefined-time (PPT) stability  sliding-mode control  
Containment control with input and velocity constraints 期刊论文
AUTOMATICA, 2022, 卷号: 142, 页码: 7
作者:  Xu, Jiahao;  Lin, Peng;  Cheng, Long;  Dong, Hairong
收藏  |  浏览/下载：150/0  |  提交时间：2022/09/19
Multi-agent systems  Containment control  Nonconvex constraints  Switching graphs  
Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication 期刊论文
NONLINEAR DYNAMICS, 2022, 卷号: 109, 页码: 2781-2798
作者:  Pu, Zhiqiang;  Ai, Xiaolin;  Yi, Jianqiang
Adobe PDF(1775Kb)  |  收藏  |  浏览/下载：259/30  |  提交时间：2022/07/25
Multi-agent systems  Integrated game and control  Velocity constraint  Input saturation  Event-triggered communication  
Fixed-time consensus disturbance rejection for high-order nonlinear multi-agent systems with input saturation 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 卷号: 44, 期号: 12, 页码: 2443–2453
作者:  Ai, Xiaolin
Adobe PDF(1670Kb)  |  收藏  |  浏览/下载：167/25  |  提交时间：2022/06/10
Fixed-time consensus  multi-agent systems  disturbance rejection  input saturation  
Attention Enhanced Reinforcement Learning for Multi agent Cooperation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Pu, Zhiqiang;  Wang, Huimu;  Liu, Zhen;  Yi, Jianqiang;  Wu, Shiguang
Adobe PDF(2967Kb)  |  收藏  |  浏览/下载：309/43  |  提交时间：2022/06/06
Training  Reinforcement learning  Games  Scalability  Task analysis  Standards  Optimization  Attention mechanism  deep reinforcement learning (DRL)  graph convolutional networks  multi agent systems