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"

30 / 30 papers shown

Title
Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration Zhaoyang Shi OffRL 36 0 0 14 May 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 83 1 0 01 Dec 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning Zida Wu Mathieu Lauriere Samuel Jia Cong Chua M. Geist Olivier Pietquin Ankur M. Mehta 42 5 0 06 Mar 2024
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 29 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 32 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 36 23 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 10 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 14 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 35 14 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 36 0 0 21 Sep 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 29 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 33 43 0 28 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 38 33 0 15 Mar 2022
Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks Tomoki Yamauchi Yuki Miyashita T. Sugawara 27 11 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 28 38 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 45 18 0 05 Dec 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 49 51 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 23 5 0 03 Nov 2021
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling Naveen Raman Sanket Shah John P. Dickerson 17 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 98 49 0 06 Oct 2021
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning Xinwu Qian Shuocheng Guo Vaneet Aggarwal 21 20 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 24 58 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 22 3 0 10 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 42 36 0 05 Aug 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 39 84 0 03 May 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 35 80 0 15 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 8 40 0 22 Nov 2020
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation Panayiotis Danassis Marija Sakota Aris Filos-Ratsikas Boi Faltings 19 11 0 17 Dec 2019
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Xiaoqiang Wang Liangjun Ke Zhimin Qiao Xinghua Chai 28 112 0 10 Aug 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 134 595 0 28 Feb 2017