Online parking assignment in an environment of partially connected vehicles: A multi-agent deep reinforcement learning approach

被引：0
|
作者：
Zhang, Xinyuan [1 ]
Zhao, Cong [2 ]
Liao, Feixiong [3 ]
Li, Xinghua [1 ,2 ]
Du, Yuchuan [2 ]
机构：
[1] Urban Mobility Institute, Tongji University, Shanghai,200092, China
[2] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai,201804, China
[3] Urban Planning and Transportation Group, Eindhoven University of Technology, Netherlands
来源：
Transportation Research Part C: Emerging Technologies | 2022年 / 138卷
关键词：
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
  • [31] Multi-agent reinforcement learning for autonomous vehicles: a survey
    Dinneweth J.
    Boubezoul A.
    Mandiau R.
    Espié S.
    Autonomous Intelligent Systems, 2022, 2 (01):
  • [32] A multi-agent deep reinforcement learning approach for traffic signal coordination
    Hu, Ta-Yin
    Li, Zhuo-Yu
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (08) : 1428 - 1444
  • [33] A deep reinforcement learning approach for multi-agent mobile robot patrolling
    Jana, Meghdeep
    Vachhani, Leena
    Sinha, Arpita
    INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS, 2022, 6 (04) : 724 - 745
  • [34] A deep reinforcement learning approach for multi-agent mobile robot patrolling
    Meghdeep Jana
    Leena Vachhani
    Arpita Sinha
    International Journal of Intelligent Robotics and Applications, 2022, 6 : 724 - 745
  • [35] Load Frequency Control: A Deep Multi-Agent Reinforcement Learning Approach
    Rozada, Sergio
    Apostolopoulou, Dimitra
    Alonso, Eduardo
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [36] An Incremental Approach for Multi-Agent Deep Reinforcement Learning for Multicriteria Missions
    Cysne, Nicholas Scharan
    Ribeiro, Carlos Henrique Costa
    Ghedini, Cinara Guellner
    2023 EUROPEAN CONTROL CONFERENCE, ECC, 2023,
  • [37] Cooperative task assignment in spatial crowdsourcing via multi-agent deep reinforcement learning?
    Zhao, Pengcheng
    Li, Xiang
    Gao, Shang
    Wei, Xiaohui
    JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 128
  • [38] Reward-Filtering-Based Credit Assignment for Multi-Agent Deep Reinforcement Learning
    Xu C.
    Yin N.
    Duan S.-H.
    He H.
    Wang R.
    Jisuanji Xuebao/Chinese Journal of Computers, 2022, 45 (11): : 2306 - 2320
  • [39] Autonomous Intersection Management with Heterogeneous Vehicles: A Multi-Agent Reinforcement Learning Approach
    Chen, Kaixin
    Li, Bing
    Zhang, Rongqing
    Cheng, Xiang
    2024 35TH IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE IV 2024, 2024, : 2255 - 2260
  • [40] MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning
    Malysheva, Aleksandra
    Kudenko, Daniel
    Shpilman, Aleksei
    2019 XVI INTERNATIONAL SYMPOSIUM PROBLEMS OF REDUNDANCY IN INFORMATION AND CONTROL SYSTEMS (REDUNDANCY), 2019, : 171 - 176
12345