TMAPath: A Knowledge Inference Method Based on Transfer Learning and Multi-agent Deep Reinforcement Learning

被引：0
|
作者：
He, Dairao [1 ]
Hu, Jingfeng [2 ]
机构：
[1] College of Information Science and Technology, Dalian Maritime University, No. 1 Linghai Road, Liaoning, Dalian, China
[2] College of Navigation, Dalian Maritime University, No. 1 Linghai Road, Liaoning, Dalian, China
来源：
Journal of Network Intelligence | 2022年 / 7卷 / 03期
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Decision making - Deep learning - Knowledge graph - Learning systems - Multi agent systems - Transfer learning
引用
收藏
页码：574 / 591
相关论文
共 50 条
  • [1] A Transfer Learning Framework for Deep Multi-Agent Reinforcement Learning
    Yi Liu
    Xiang Wu
    Yuming Bo
    Jiacun Wang
    Lifeng Ma
    IEEE/CAA Journal of Automatica Sinica, 2024, 11 (11) : 2346 - 2348
  • [2] A Transfer Learning Framework for Deep Multi-Agent Reinforcement Learning
    Liu, Yi
    Wu, Xiang
    Bo, Yuming
    Wang, Jiacun
    Ma, Lifeng
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 11 (11) : 2346 - 2348
  • [3] A Confrontation Decision-Making Method with Deep Reinforcement Learning and Knowledge Transfer for Multi-Agent System
    Hu, Chunyang
    SYMMETRY-BASEL, 2020, 12 (04):
  • [4] Coordination as inference in multi-agent reinforcement learning
    Li, Zhiyuan
    Wu, Lijun
    Su, Kaile
    Wu, Wei
    Jing, Yulin
    Wu, Tong
    Duan, Weiwei
    Yue, Xiaofeng
    Tong, Xiyi
    Han, Yizhou
    NEURAL NETWORKS, 2024, 172
  • [5] Learning to Communicate with Deep Multi-Agent Reinforcement Learning
    Foerster, Jakob N.
    Assael, Yannis M.
    de Freitas, Nando
    Whiteson, Shimon
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), 2016, 29
  • [6] Aggregation Transfer Learning for Multi-Agent Reinforcement learning
    Xu, Dongsheng
    Qiao, Peng
    Dou, Yong
    2021 2ND INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2021), 2021, : 547 - 551
  • [7] Optimal control method of HVAC based on multi-agent deep reinforcement learning
    Fu, Qiming
    Chen, Xiyao
    Ma, Shuai
    Fang, Nengwei
    Xing, Bin
    Chen, Jianping
    ENERGY AND BUILDINGS, 2022, 270
  • [8] Transfer Learning Method Using Ontology for Heterogeneous Multi-agent Reinforcement Learning
    Kono, Hitoshi
    Kamimura, Akiya
    Tomita, Kohji
    Murata, Yuta
    Suzuki, Tsuyoshi
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2014, 5 (10) : 156 - 164
  • [9] Multi-Agent Common Knowledge Reinforcement Learning
    de Witt, Christian A. Schroeder
    Foerster, Jakob N.
    Farquhar, Gregory
    Torr, Philip H. S.
    Boehmer, Wendelin
    Whiteson, Shimon
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019, 32
  • [10] Knowledge transfer in multi-agent reinforcement learning with incremental number of agents
    Liu Wenzhang
    Dong Lu
    Liu Jian
    Sun Changyin
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2022, 33 (02) : 447 - 460
12345