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Reinforcement Learning for Ridesharing: An Extended Survey

3 May 2021

Papers citing "Reinforcement Learning for Ridesharing: An Extended Survey"

46 / 46 papers shown

Title
DECAF: Learning to be Fair in Multi-agent Resource Allocation Ashwin Kumar William Yeoh 154 1 0 06 Feb 2025
A Deep Value-network Based Approach for Multi-Driver Order Dispatching Xiaocheng Tang Zhiwei Qin Fan Zhang Zhaodong Wang Zhe Xu Yintai Ma Hongtu Zhu Jieping Ye OffRL 67 182 0 08 Jun 2021
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms Xiaocheng Tang Fan Zhang Zhiwei Qin Yansheng Wang D. Shi Bingchen Song Yongxin Tong Hongtu Zhu Jieping Ye OffRL 54 48 0 18 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 61 64 0 08 Mar 2021
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing A. Delarue Ross Anderson Christian Tjandraatmadja 80 95 0 22 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 187 197 0 19 Oct 2020
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows Bo Lin Bissan Ghaddar J. Nathwani AI4TS 70 96 0 05 Oct 2020
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning Marina Haliem G. Mani Vaneet Aggarwal Bharat K. Bhargava 75 64 0 05 Oct 2020
Scalable Deep Reinforcement Learning for Ride-Hailing Jiekun Feng Mark O. Gluzman J. Dai BDL 119 17 0 27 Sep 2020
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing Wei Shen Xiaonan He Wei Shen Q. Ni Wanchun Dou Yan Wang 43 18 0 25 Aug 2020
Learn to Earn: Enabling Coordination within a Ride Hailing Fleet Harshal A. Chaudhari J. Byers Evimaria Terzi 56 6 0 19 Jun 2020
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey Ammar Haydari Y. Yilmaz AI4TS 101 468 0 02 May 2020
Curriculum in Gradient-Based Meta-Reinforcement Learning Bhairav Mehta T. Deleu Sharath Chandra Raparthy C. Pal Liam Paull 99 20 0 19 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning Zhenyu Shou Xuan Di 72 57 0 17 Feb 2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 154 147 0 13 Feb 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 172 1,839 0 13 Dec 2019
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem J. Holler Risto Vuorio Zhiwei Qin Xiaocheng Tang Yan Jiao Tiancheng Jin Satinder Singh Chenxi Wang Jieping Ye 49 93 0 25 Nov 2019
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems Bharathan Balaji Jordan Bell-Masterson Enes Bilgin Andreas C. Damianou Pablo Moreno Garcia Arpit Jain Runfei Luo Alvaro Maggiar Balakrishnan Narayanaswamy Chun Jimmie Ye OffRL 49 32 0 24 Nov 2019
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling Sanket Shah Meghna Lowalekar Pradeep Varakantham 75 82 0 20 Nov 2019
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning Ashutosh Singh Abubakr O. Alabbasi Vaneet Aggarwal 45 47 0 30 Oct 2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching Ming Zhou Jiarui Jin Weinan Zhang Zhiwei Qin Yan Jiao Chenxi Wang Guobin Wu Yong Yu Jieping Ye 48 87 0 07 Oct 2019
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation Wenjie Shang Yang Yu Qingyang Li Zhiwei Qin Yiping Meng Jieping Ye CML 61 51 0 12 Jul 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 118 45 0 11 Jun 2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms Jiarui Jin M. Zhou Weinan Zhang Minne Li Zilong Guo ... Xiaocheng Tang Chenxi Wang Jun Wang Guobin Wu Jieping Ye 54 100 0 27 May 2019
Optimal Passenger-Seeking Policies on E-hailing Platforms Using Markov Decision Process and Imitation Learning Zhenyu Shou Xuan Di Jieping Ye Hongtu Zhu Hua Zhang R. Hampshire 49 67 0 23 May 2019
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning A. Al-Abbasi A. Ghosh Vaneet Aggarwal 68 153 0 09 Mar 2019
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System Yujie Chen Yu Qian Yichen Yao Zili Wu Rongqi Li Yinzhi Zhou Haoyuan Hu Yinghui Xu 53 24 0 07 Mar 2019
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning Minne Li Zhiwei Qin Qin Yan Jiao Yaodong Yang Zhichen Gong Jun Wang Chenxi Wang Guobin Wu Jieping Ye 75 199 0 31 Jan 2019
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining Ishan Jindal Zhiwei Qin Xuewen Chen M. Nokleby Jieping Ye AI4TS 48 45 0 11 Nov 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 97 614 0 18 Jun 2018
MOVI: A Model-Free Approach to Dynamic Fleet Management Takuma Oda Carlee Joe-Wong 63 93 0 13 Apr 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 132 1,233 0 22 Mar 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 154 741 0 02 Mar 2018
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 72 575 0 15 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 115 908 0 12 Feb 2018
Spatio-Temporal Pricing for Ridesharing Platforms Hongyao Ma Fei Fang David C. Parkes 101 129 0 11 Jan 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 161 5,219 0 10 Nov 2017
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems Rick Zhang Federico Rossi Kevin Wang David Hallac Jure Leskovec Marco Pavone 64 177 0 20 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 589 19,315 0 20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 164 4,520 0 07 Jun 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 160 1,494 0 29 Nov 2016
Sample Efficient Actor-Critic with Experience Replay Ziyun Wang V. Bapst N. Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas 109 762 0 03 Nov 2016
Predictive Positioning and Quality Of Service Ridesharing for Campus Mobility On Demand Systems Justin Miller Jonathan P. How 76 58 0 26 Sep 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 143 3,066 0 09 Jun 2015
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 473 2,958 0 28 Feb 2010