Research Progress of Multi-Agent Deep Reinforcement Learning

被引:0
|
作者
Ding, Shi-Feiu [1 ,2 ]
Du, Weiu [1 ]
Zhang, Jianu [1 ,2 ]
Guo, Li-Liu [1 ,2 ]
Ding, Ding [3 ]
机构
[1] School of Computer Science and Technology, China University of Mining and Technology, Jiangsu, Xuzhou,221116, China
[2] Mine Digitization Engineering Research Center of the Ministry of Education, China University of Mining and Technology, Jiangsu, Xuzhou,221116, China
[3] College of Intelligence and Computing, Tianjin University, Tianjin,300350, China
来源
关键词
D O I
10.11897/SP.J.1016.2024.01547
中图分类号
学科分类号
摘要
118
引用
下载
收藏
页码:1547 / 1567
相关论文
共 50 条
  • [21] Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
    Liu, Iou-Jen
    Jain, Unnat
    Yeh, Raymond A.
    Schwing, Alexander G.
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 2021, 139
  • [22] Competitive Evolution Multi-Agent Deep Reinforcement Learning
    Zhou, Wenhong
    Chen, Yiting
    Li, Jie
    PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2019), 2019,
  • [23] Strategic Interaction Multi-Agent Deep Reinforcement Learning
    Zhou, Wenhong
    Li, Jie
    Chen, Yiting
    Shen, Lin-Cheng
    IEEE ACCESS, 2020, 8 : 119000 - 119009
  • [24] Multi-Agent Deep Reinforcement Learning in Vehicular OCC
    Islam, Amirul
    Musavian, Leila
    Thomos, Nikolaos
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [25] Teaching on a Budget in Multi-Agent Deep Reinforcement Learning
    Ilhan, Ercument
    Gow, Jeremy
    Perez-Liebana, Diego
    2019 IEEE CONFERENCE ON GAMES (COG), 2019,
  • [26] Multi-agent cooperative learning research based on reinforcement learning
    Liu, Fei
    Zeng, Guangzhou
    2006 10TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, PROCEEDINGS, VOLS 1 AND 2, 2006, : 1408 - 1413
  • [27] Multi-Agent Reinforcement Learning
    Stankovic, Milos
    2016 13TH SYMPOSIUM ON NEURAL NETWORKS AND APPLICATIONS (NEUREL), 2016, : 43 - 43
  • [28] Multi-Agent Deep Reinforcement Learning for Multi-Object Tracker
    Jiang, Mingxin
    Hai, Tao
    Pan, Zhigeng
    Wang, Haiyan
    Jia, Yinjie
    Deng, Chao
    IEEE ACCESS, 2019, 7 : 32400 - 32407
  • [29] Learning multi-agent communication with double attentional deep reinforcement learning
    Mao, Hangyu
    Zhang, Zhengchao
    Xiao, Zhen
    Gong, Zhibo
    Ni, Yan
    AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2020, 34 (01)
  • [30] Learning to school in dense configurations with multi-agent deep reinforcement learning
    Zhu, Yi
    Pang, Jian-Hua
    Gao, Tong
    Tian, Fang-Bao
    BIOINSPIRATION & BIOMIMETICS, 2023, 18 (01)