Graph-based Selection-Activation Reinforcement Learning for Heterogenous Multi-agent Collaboration

被引：0

作者：

Chen, Hao-Xiang ^{[1
,2
,3
]}

Zhang, Xi-Wen ^{[1
,2
]}

Shen, Jun-Nan ^{[3
]}

机构：

[1] Beijing Institute of Technology, Beijing,100081, China

[2] Beijing Institute of Technology, State Key Laboratory of Intelligent Control and Decision of Complex System, School of Automation, Beijing,100081, China

[3] Beijing Institute of Technology, Chongqing Innovation Center, Chongqing,401135, China

来源：

Chinese Control Conference, CCC | 2024年

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Convolutional neural networks - Graph neural networks - Hierarchical systems - Matrix algebra - Network theory (graphs) - Reinforcement learning

引用

页码：5835 / 5840

共 50 条

[31] A graph-based multi-agent planning algorithm with QoS guarantees
Zhang, Jian Feng
Nguyen, Xuan Thang
Kowalczyk, Ryszard
PROCEEDINGS OF THE IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY (IAT 2007), 2007, : 273 - +
[32] Directed graph-based multi-agent coalitional decision making
Yu, Xiaohan
Xu, Zeshui
KNOWLEDGE-BASED SYSTEMS, 2012, 35 : 271 - 278
[33] Conditional Synchronization in Multi-Agent Graph-based Knowledge System
Kotulski, Leszek
Sedziwy, Adam
Strug, Barbara
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE, 2015, 51 : 1043 - 1051
[34] GLOBAL-LOCALIZED AGENT GRAPH CONVOLUTION FOR MULTI-AGENT REINFORCEMENT LEARNING
Liu, Yuntao
Dou, Yong
Shen, Siqi
Qiao, Peng
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 3480 - 3484
[35] Towards Self-X cognitive manufacturing network: An industrial knowledge graph-based multi-agent reinforcement learning approach
Zheng, Pai
Xia, Liqiao
Li, Chengxi
Li, Xinyu
Liu, Bufan
JOURNAL OF MANUFACTURING SYSTEMS, 2021, 61 : 16 - 26
[36] Multi-Agent Reinforcement Learning
Stankovic, Milos
2016 13TH SYMPOSIUM ON NEURAL NETWORKS AND APPLICATIONS (NEUREL), 2016, : 43 - 43
[37] Trustable Policy Collaboration Scheme for Multi-Agent Stigmergic Reinforcement Learning
Xu, Xing
Li, Rongpeng
Zhao, Zhifeng
Zhang, Honggang
IEEE COMMUNICATIONS LETTERS, 2022, 26 (04) : 823 - 827
[38] Multi-agent Reinforcement Learning Model for Effective Action Selection
Youk, Sang Jo
Lee, Bong Keun
INFORMATION SECURITY AND ASSURANCE, 2010, 76 : 309 - +
[39] Graph Multi-Agent Reinforcement Learning for Inverter-Based Active Voltage Control
Mu, Chaoxu
Liu, Zhaoyang
Yan, Jun
Jia, Hongjie
Zhang, Xiaoyu
IEEE TRANSACTIONS ON SMART GRID, 2024, 15 (02) : 1399 - 1409
[40] Path Reasoning over Knowledge Graph: A Multi-Agent and Reinforcement Learning Based Method
Li, Zixuan
Jin, Xiaolong
Guan, Saiping
Wang, Yuanzhuo
Cheng, Xueqi
2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2018, : 929 - 936

← 1 2 3 4 5 →