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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"

11 / 11 papers shown
Title
Robo-taxi Fleet Coordination at Scale via Reinforcement Learning
Robo-taxi Fleet Coordination at Scale via Reinforcement Learning
Luigi Tresca
Carolin Schmidt
James Harrison
Filipe Rodrigues
G. Zardini
Daniele Gammelli
Marco Pavone
25
2
0
08 Apr 2025
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
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from
  Shifted-Dynamics Data
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
Chengrui Qu
Laixi Shi
Kishan Panaganti
Pengcheng You
Adam Wierman
OffRL
OnRL
36
0
0
06 Nov 2024
Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing
  High-resolution Histology Images
Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images
Bingjun Li
Mostafa Karami
Masum Shah Junayed
S. Nabavi
24
0
0
31 Oct 2024
LMMCoDrive: Cooperative Driving with Large Multimodal Model
LMMCoDrive: Cooperative Driving with Large Multimodal Model
Haichao Liu
Ruoyu Yao
Zhenmin Huang
Shaojie Shen
Jun Ma
24
3
0
18 Sep 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Fudong Lin
Jiadong Lou
Xu Yuan
Nianfeng Tzeng
ViT
AAML
25
1
0
22 Jul 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
38
16
0
08 Jun 2024
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous
  Mobility on Demand Systems
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Heiko Hoppe
Tobias Enders
Quentin Cappart
Maximilian Schiffer
18
2
0
14 Dec 2023
Optimizing Irrigation Efficiency using Deep Reinforcement Learning in
  the Field
Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field
Xianzhong Ding
Wan Du
AI4CE
14
13
0
04 Apr 2023
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
13
90
0
15 Jul 2016
1