Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

31 January 2019

Papers citing "Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning"

50 / 60 papers shown

Title
Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration Zhaoyang Shi OffRL 65 0 0 14 May 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 175 2 0 01 Dec 2024
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective Shengchao Hu Li Shen Ya Zhang Dacheng Tao AI4CE 89 1 0 01 Nov 2024
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing Xinlang Yue Yiran Liu Fangzhou Shi Sihong Luo Chen Zhong Min Lu Zhe Xu 86 1 0 20 Aug 2024
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing Amutheezan Sivagnanam Ava Pettet Hunter Lee Ayan Mukhopadhyay Abhishek Dubey Aron Laszka 112 0 0 21 May 2024
Learning Multi-Agent Communication from Graph Modeling Perspective Shengchao Hu Li Shen Ya Zhang Dacheng Tao AI4CE 86 26 0 14 May 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 55 3 0 10 Apr 2024
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation Di Zhang Moyang Wang Joseph D Mango Xiang Li Xianrui Xu 98 1 0 06 Mar 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning Zida Wu Mathieu Lauriere Samuel Jia Cong Chua Matthieu Geist Olivier Pietquin Ankur M. Mehta 85 5 0 06 Mar 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 105 12 0 22 Jan 2024
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance Haoyang Chen Peiyan Sun Qiyuan Song Wanyuan Wang Weiwei Wu Wencan Zhang Guanyu Gao Yan Lyu 51 7 0 09 Jan 2024
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin Yan Li Yue Yu Qingru Zhang Zhehui Chen Simiao Zuo Chao Zhang Songan Zhang Tuo Zhao OOD AAML 80 19 0 16 Oct 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards Yulian Wu Xingyu Zhou Sayak Ray Chowdhury Di Wang 67 2 0 01 Jun 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 63 4 0 26 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 51 7 0 01 Mar 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Tobias Enders James Harrison Marco Pavone Maximilian Schiffer 68 25 0 14 Dec 2022
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach Man Luo Bowen Du Wenzhe Zhang Tianyou Song Kun Li Hongming Zhu M. Birkin Hongkai Wen 56 24 0 11 Nov 2022
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning Yanqiu Wu Qingyang Li Zhiwei Qin OffRL 57 3 0 06 Nov 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 81 15 0 26 Oct 2022
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies Haozhi Wang Qing Wang Yunfeng Shao Dong Li Jianye Hao Yinchuan Li 61 0 0 21 Sep 2022
RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments Aakriti Agrawal Amrit Singh Bedi Tianyi Zhou 116 20 0 13 Sep 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 68 35 0 20 Jun 2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios Jiajun Chai Weifan Li Yuanheng Zhu Dongbin Zhao Zhe Ma Kewu Sun Jishiyu Ding 78 45 0 28 Mar 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration Pengyi Li Hongyao Tang Tianpei Yang Xiaotian Hao Tong Sang ... Jianye Hao Matthew E. Taylor Wenyuan Tao Zhen Wang Fazl Barez 82 32 0 16 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 95 34 0 15 Mar 2022
Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning Jibang Wu Zixuan Zhang Zhe Feng Zhaoran Wang Zhuoran Yang Michael I. Jordan Haifeng Xu 91 36 0 22 Feb 2022
Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks Tomoki Yamauchi Yuki Miyashita T. Sugawara 57 12 0 16 Jan 2022
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks Linghui Meng Muning Wen Yaodong Yang Chenyang Le Xiyun Li Weinan Zhang Ying Wen Haifeng Zhang Jun Wang Bo Xu OffRL 89 43 0 06 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 112 18 0 05 Dec 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning Zhaoxing Yang Rong Ding Haiming Jin Yifei Wei Haoyi You Guiyun Fan Xiaoying Gan Xinbing Wang 76 4 0 10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 106 52 0 09 Nov 2021
Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search Man Luo Bowen Du Konstantin Klemmer Hongming Zhu Hongkai Wen 52 5 0 03 Nov 2021
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling Naveen Raman Sanket Shah John P. Dickerson 37 17 0 07 Oct 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 161 49 0 06 Oct 2021
Off-line approximate dynamic programming for the vehicle routing problem with a highly variable customer basis and stochastic demands M. Dastpak Fausto Errico O. Jabali 57 6 0 21 Sep 2021
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning Xinwu Qian Shuocheng Guo Vaneet Aggarwal 45 21 0 09 Sep 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 77 67 0 19 Aug 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 43 3 0 10 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 99 36 0 05 Aug 2021
CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban Computing Zhengfei Zheng Xu Geng Hai Yang 25 0 0 30 Jun 2021
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching Runzhe Wan Sheng Zhang C. Shi Shuang Luo R. Song AI4TS 60 3 0 27 May 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 148 87 0 03 May 2021
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning Yan Jiao Xiaocheng Tang Zhiwei Qin Shuaiji Li Fan Zhang Hongtu Zhu Jieping Ye 67 65 0 08 Mar 2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning Weijiao Zhang Hao Liu Fan Wang Tong Xu Haoran Xin Dejing Dou Hui Xiong 59 83 0 15 Feb 2021
Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network Takuma Oda 50 9 0 13 Feb 2021
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment Zhenyu Shou Xu Chen Yongjie Fu Xuan Di 60 42 0 22 Nov 2020
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network Juhyeon Kim Kihyun Kim GNN 58 12 0 12 Nov 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning Xuan Di Rongye Shi 133 177 0 10 Jul 2020
Learn to Earn: Enabling Coordination within a Ride Hailing Fleet Harshal A. Chaudhari J. Byers Evimaria Terzi 64 6 0 19 Jun 2020
Multi-Agent Determinantal Q-Learning Yaodong Yang Ying Wen Lihuan Chen Jun Wang Kun Shao D. Mguni Weinan Zhang 102 73 0 02 Jun 2020