Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Man, Du, Bowen, Zhang, Wenzhe, Song, Tianyou, Li, Kun, Zhu, Hongming, Birkin, Mark, Wen, Hongkai |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CityVerse: A Unified Data Platform for Multi-Task Urban Computing with Large Language Models
by: Zhu, Yaqiao, et al.
Published: (2025)
by: Zhu, Yaqiao, et al.
Published: (2025)
Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems
by: Toft, Emil Kragh, et al.
Published: (2026)
by: Toft, Emil Kragh, et al.
Published: (2026)
Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems
by: Pedroza-Perez, Diego Daniel, et al.
Published: (2026)
by: Pedroza-Perez, Diego Daniel, et al.
Published: (2026)
HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control
by: Zhu, Yaqiao, et al.
Published: (2025)
by: Zhu, Yaqiao, et al.
Published: (2025)
Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
by: Scarpel, Edoardo, et al.
Published: (2026)
by: Scarpel, Edoardo, et al.
Published: (2026)
TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility
by: Wang, Jinming, et al.
Published: (2026)
by: Wang, Jinming, et al.
Published: (2026)
Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems
by: Li, Xinling, et al.
Published: (2025)
by: Li, Xinling, et al.
Published: (2025)
Approximation Models for Shared Mobility Rebalancing Under Structured Spatial Imbalance
by: Fan, Wenbo, et al.
Published: (2026)
by: Fan, Wenbo, et al.
Published: (2026)
A Coverage Control-based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems
by: Zhu, Pengbo, et al.
Published: (2023)
by: Zhu, Pengbo, et al.
Published: (2023)
DeepFleet: Multi-Agent Foundation Models for Mobile Robots
by: Agaskar, Ameya, et al.
Published: (2025)
by: Agaskar, Ameya, et al.
Published: (2025)
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach
by: Filipovska, Monika, et al.
Published: (2022)
by: Filipovska, Monika, et al.
Published: (2022)
Rebalancing Modular Transit Systems: A Hierarchical Graph-Based Optimization Framework for Fleet Sizing and Routing
by: Radvand, Tina, et al.
Published: (2025)
by: Radvand, Tina, et al.
Published: (2025)
Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning Approach
by: Xie, Yuejiao, et al.
Published: (2025)
by: Xie, Yuejiao, et al.
Published: (2025)
GPTDrawer: Enhancing Visual Synthesis through ChatGPT
by: Li, Kun, et al.
Published: (2024)
by: Li, Kun, et al.
Published: (2024)
Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
by: Song, Wenzhe, et al.
Published: (2026)
by: Song, Wenzhe, et al.
Published: (2026)
Rebalancing Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2024)
by: Du, Kaile, et al.
Published: (2024)
Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems
by: Tan, Heng, et al.
Published: (2026)
by: Tan, Heng, et al.
Published: (2026)
Rebalancing-versus-Rebalancing: Improving the fidelity of Loss-versus-Rebalancing
by: Willetts, Matthew, et al.
Published: (2024)
by: Willetts, Matthew, et al.
Published: (2024)
Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
by: Luo, Zhenglong, et al.
Published: (2024)
by: Luo, Zhenglong, et al.
Published: (2024)
Low-cost Multi-agent Fleet for Acoustic Cooperative Localization Research
by: Durrant, Nelson, et al.
Published: (2025)
by: Durrant, Nelson, et al.
Published: (2025)
Multi-agent Collaborative Perception for Robotic Fleet: A Systematic Review
by: Singh, Apoorv, et al.
Published: (2024)
by: Singh, Apoorv, et al.
Published: (2024)
Rebalancing and Sustaining Growth in China
by: McKay, Huw, et al.
Published: (2013)
by: McKay, Huw, et al.
Published: (2013)
Distributed Fair Assignment and Rebalancing for Mobility-on-Demand Systems via an Auction-based Method
by: Liang, Kaier, et al.
Published: (2024)
by: Liang, Kaier, et al.
Published: (2024)
Learning Communication Skills in Multi-task Multi-agent Deep Reinforcement Learning
by: Zhu, Changxi, et al.
Published: (2025)
by: Zhu, Changxi, et al.
Published: (2025)
Policy-Controlled Generalized Share: A General Framework with a Transformer Instantiation for Strictly Online Switching-Oracle Tracking
by: Hu, Hongkai
Published: (2026)
by: Hu, Hongkai
Published: (2026)
Starfish: Rebalancing Multi-Party Off-Chain Payment Channels
by: Xu, Minghui, et al.
Published: (2025)
by: Xu, Minghui, et al.
Published: (2025)
TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model
by: Wang, Jinming, et al.
Published: (2024)
by: Wang, Jinming, et al.
Published: (2024)
Mitigating Shared-Private Branch Imbalance via Dual-Branch Rebalancing for Multimodal Sentiment Analysis
by: Meng, Chunlei, et al.
Published: (2026)
by: Meng, Chunlei, et al.
Published: (2026)
Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems
by: Liang, Jiaqi, et al.
Published: (2024)
by: Liang, Jiaqi, et al.
Published: (2024)
Single Agent Robust Deep Reinforcement Learning for Bus Fleet Control
by: Zhang, Yifan
Published: (2025)
by: Zhang, Yifan
Published: (2025)
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems
by: Aalipour, Ali, et al.
Published: (2024)
by: Aalipour, Ali, et al.
Published: (2024)
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
by: Jiang, Haozhe, et al.
Published: (2023)
by: Jiang, Haozhe, et al.
Published: (2023)
Efficient Parking Search using Shared Fleet Data
by: Strauß, Niklas, et al.
Published: (2024)
by: Strauß, Niklas, et al.
Published: (2024)
QUIDS: Quality-informed Incentive-driven Multi-agent Dispatching System for Mobile Crowdsensing
by: Zhou, Nan, et al.
Published: (2025)
by: Zhou, Nan, et al.
Published: (2025)
Aircraft and Fleet Sizing for Regional Air Mobility: College Town Case Studies
by: Park, Jung Ho, et al.
Published: (2026)
by: Park, Jung Ho, et al.
Published: (2026)
Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning
by: Zhu, Changxi, et al.
Published: (2025)
by: Zhu, Changxi, et al.
Published: (2025)
Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing Problem
by: Wan, Pengfu, et al.
Published: (2025)
by: Wan, Pengfu, et al.
Published: (2025)
A Novel Edge Laplacian-based Approach for Adaptive Formation Control of Uncertain Multi-agent Systems with Unified Relative Error Performance
by: Li, Kun, et al.
Published: (2024)
by: Li, Kun, et al.
Published: (2024)
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
by: D'Eramo, Carlo, et al.
Published: (2024)
by: D'Eramo, Carlo, et al.
Published: (2024)
Similar Items
-
CityVerse: A Unified Data Platform for Multi-Task Urban Computing with Large Language Models
by: Zhu, Yaqiao, et al.
Published: (2025) -
Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems
by: Toft, Emil Kragh, et al.
Published: (2026) -
Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems
by: Pedroza-Perez, Diego Daniel, et al.
Published: (2026) -
HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control
by: Zhu, Yaqiao, et al.
Published: (2025) -
Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
by: Scarpel, Edoardo, et al.
Published: (2026)