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A Robust and Constrained Multi-Agent Reinforcement Learning Electric
  Vehicle Rebalancing Method in AMoD Systems

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems

17 September 2022
Sihong He
Yue Wang
Shuo Han
Shaofeng Zou
Fei Miao
ArXivPDFHTML

Papers citing "A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems"

3 / 3 papers shown
Title
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
Haichao Liu
Ruoyu Yao
Wenru Liu
Zhenmin Huang
Shaojie Shen
Jun Ma
42
2
0
10 Jan 2025
Policy Gradient Method For Robust Reinforcement Learning
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang
Shaofeng Zou
81
67
0
15 May 2022
A BCMP Network Approach to Modeling and Controlling Autonomous
  Mobility-on-Demand Systems
A BCMP Network Approach to Modeling and Controlling Autonomous Mobility-on-Demand Systems
Ramón Iglesias
Federico Rossi
Rick Zhang
Marco Pavone
11
90
0
15 Jul 2016
1