A task distribution based Q-learning algorithm for multi- agent team coordination

被引:0
|
作者
机构
[1] Sun, Qiao
[2] Chen, Zhibo
[3] Chen, Feixiang
[4] Xu, Fu
[5] Shi, Yanan
来源
Sun, Qiao | 1600年 / Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia卷 / 18期
关键词
Human resource management - Learning systems - Intelligent agents - Learning algorithms;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] A distributed Q-learning algorithm for multi-agent team coordination
    Huang, J
    Yang, B
    Liu, DY
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 108 - 113
  • [2] Multi-Agent Coordination Method Based on Fuzzy Q-Learning
    Peng, Jun
    Liu, Miao
    Wu, Min
    Zhang, Xiaoyong
    Lin, Kuo-Chi
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5411 - +
  • [3] Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions
    Miyashita, Yuki
    Sugawara, Toshiharu
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: THEORETICAL NEURAL COMPUTATION, PT I, 2019, 11727 : 541 - 554
  • [4] Assess team Q-learning algorithm in a purely cooperative multi-robot task
    Wang, Ying
    De Silva, Clarence W.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINERING CONGRESS AND EXPOSITION 2007, VOL 9, PTS A-C: MECHANICAL SYSTEMS AND CONTROL, 2008, : 627 - 633
  • [5] Q-RTS: a real-time swarm intelligence based on multi- agent Q-learning
    Matta, M.
    Cardarilli, G. C.
    Di Nunzio, L.
    Fazzolari, R.
    Giardino, D.
    Re, M.
    Silvestri, F.
    Spano, S.
    ELECTRONICS LETTERS, 2019, 55 (10) : 589 - +
  • [6] Q-learning based Routing Scheduling For a Multi-Task Autonomous Agent
    Bouhamed, Omar
    Ghazzai, Hakim
    Besbes, Hichem
    Massoud, Yehia
    2019 IEEE 62ND INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2019, : 634 - 637
  • [7] Q-Learning Policies for Multi-Agent Foraging Task
    Yogeswaran, M.
    Ponnambalam, S. C.
    TRENDS IN INTELLIGENT ROBOTICS, 2010, 103 : 194 - 201
  • [8] A Task Scheduling Algorithm Based on Q-Learning for WSNs
    Zhang, Benhong
    Wu, Wensheng
    Bi, Xiang
    Wang, Yiming
    COMMUNICATIONS AND NETWORKING, CHINACOM 2018, 2019, 262 : 521 - 530
  • [9] Study on Statistics Based Q-learning Algorithm for Multi-Agent System
    Xie Ya
    Huang Zhonghua
    2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS, 2013, : 595 - 600
  • [10] Multiagent Q-learning with Sub-Team Coordination
    Huang, Wenhan
    Li, Kai
    Shao, Kun
    Zhou, Tianze
    Taylor, Matthew E.
    Luo, Jun
    Wang, Dongge
    Mao, Hangyu
    Hao, Jianye
    Wang, Jun
    Deng, Xiaotie
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,