Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and
Repositioning Problem

Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem

25 November 2019

Papers citing "Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem"

10 / 10 papers shown

Title
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft Xabi Azagirre Akshay Balwally Guillaume Candeli Nicholas Chamandy Benjamin Han ... Sean Taylor G. V. Ryzin Di Wu Fei Yu Alex Zamoshchin 21 7 0 20 Oct 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 29 4 0 26 Mar 2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning Carolin Schmidt Daniele Gammelli Francisco Câmara Pereira Filipe Rodrigues OffRL 14 4 0 28 Feb 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Tobias Enders James Harrison Marco Pavone Maximilian Schiffer 36 23 0 14 Dec 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 35 14 0 26 Oct 2022
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning Xinwu Qian Shuocheng Guo Vaneet Aggarwal 21 20 0 09 Sep 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 22 3 0 10 Aug 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 64 68 0 15 Jul 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 39 84 0 03 May 2021
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems Daniele Gammelli Kaidi Yang James Harrison Filipe Rodrigues Francisco Câmara Pereira Marco Pavone GNN 53 46 0 23 Apr 2021