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Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning
8 March 2021
Yan Jiao
Xiaocheng Tang
Zhiwei Qin
Shuaiji Li
Fan Zhang
Hongtu Zhu
Jieping Ye
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Papers citing
"Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning"
18 / 18 papers shown
Ride-pool Assignment Algorithms: Modern Implementation and Swapping Heuristics
Matthew Zalesak
Hins Hu
Samitha Samaranayake
171
0
0
14 Apr 2025
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework
Transportation Research Part C: Emerging Technologies (TRC), 2025
Yulong Hu
Tingting Dong
Sen Li
OffRL
OnRL
270
10
0
24 Jan 2025
SPO-VCS: An End-to-End Smart Predict-then-Optimize Framework with Alternating Differentiation Method for Relocation Problems in Large-Scale Vehicle Crowd Sensing
Xinyu Wang
Yiyang Peng
Wei Ma
478
1
0
27 Nov 2024
Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
Zeno Woywood
Jasper I. Wiltfang
Julius Luy
Tobias Enders
Maximilian Schiffer
342
3
0
10 Apr 2024
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance
AAAI Conference on Artificial Intelligence (AAAI), 2024
Haoyang Chen
Peiyan Sun
Qiyuan Song
Wanyuan Wang
Weiwei Wu
Wencan Zhang
Guanyu Gao
Yan Lyu
258
12
0
09 Jan 2024
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
Xiaotong Guo
Hanyong Xu
Dingyi Zhuang
Yunhan Zheng
Jinhua Zhao
331
10
0
29 Dec 2023
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Conference on Learning for Dynamics & Control (L4DC), 2023
Heiko Hoppe
Tobias Enders
Quentin Cappart
Maximilian Schiffer
374
13
0
14 Dec 2023
Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach
Jinhua Si
Fang He
Xi Lin
Xindi Tang
270
22
0
13 Jul 2023
A Survey of Machine Learning-Based Ride-Hailing Planning
Dacheng Wen
Yupeng Li
F. Lau
210
18
0
26 Mar 2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
European Control Conference (ECC), 2023
Carolin Schmidt
Daniele Gammelli
Francisco Câmara Pereira
Filipe Rodrigues
OffRL
258
7
0
28 Feb 2023
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency
Alex J. Chin
Zhiwei Qin
198
2
0
28 Feb 2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
INFORMS journal on computing (IJOC), 2023
Kai Jungel
Axel Parmentier
Maximilian Schiffer
Thibaut Vidal
196
20
0
08 Feb 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Conference on Learning for Dynamics & Control (L4DC), 2022
Tobias Enders
James Harrison
Marco Pavone
Maximilian Schiffer
250
39
0
14 Dec 2022
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace
Knowledge Discovery and Data Mining (KDD), 2022
S. S. Eshkevari
Xiaocheng Tang
Zhiwei Qin
Jinhan Mei
Cheng Zhang
Qianying Meng
Jia Xu
183
33
0
10 Feb 2022
Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
Enpeng Yuan
Pascal Van Hentenryck
123
1
0
05 Nov 2021
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning
Transportation Research Part C: Emerging Technologies (TRC), 2021
Xinwu Qian
Shuocheng Guo
Vaneet Aggarwal
199
23
0
09 Sep 2021
Learning Model-Based Vehicle-Relocation Decisions for Real-Time Ride-Sharing: Hybridizing Learning and Optimization
Enpeng Yuan
Pascal Van Hentenryck
133
2
0
27 May 2021
Reinforcement Learning for Ridesharing: An Extended Survey
Transportation Research Part C: Emerging Technologies (TRC), 2021
Zhiwei Qin
Hongtu Zhu
Jieping Ye
1.1K
116
0
03 May 2021
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