Reinforcement Learning for Ridesharing: An Extended Survey

3 May 2021

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

26 / 26 papers shown

Title
DECAF: Learning to be Fair in Multi-agent Resource Allocation Ashwin Kumar William Yeoh 87 1 0 06 Feb 2025
The Spoils of Algorithmic Collusion: Profit Allocation Among Asymmetric Firms Simon Martin Hans-Theo Normann Paul Püplichhuisen Tobias Werner 39 0 0 13 Jan 2025
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems Joshua Holder Natasha Jaques Mehran Mesbahi 69 1 0 20 Dec 2024
An End-to-End Smart Predict-then-Optimize Framework for Vehicle Relocation Problems in Large-Scale Vehicle Crowd Sensing Xinyu Wang Yiyang Peng Wei Ma 61 0 0 27 Nov 2024
Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning Kezhou Ren Meihan Jin Huiming Liu Yongxi Gong Yu Liu 15 0 0 05 Sep 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 18 0 0 20 Aug 2024
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences Runpeng Dai Jianing Wang Fan Zhou S. Luo Zhiwei Qin Chengchun Shi Hongtu Zhu CML OffRL 27 0 0 25 Jul 2024
Combining Experimental and Historical Data for Policy Evaluation Ting Li Chengchun Shi Qianglin Wen Yang Sui Yongli Qin Chunbo Lai Hongtu Zhu OffRL 44 0 0 01 Jun 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 16 6 0 09 Jan 2024
Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach Taijie Chen Zijian Shen Siyuan Feng Linchuan Yang Jintao Ke 11 0 0 09 Dec 2023
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 8 7 0 20 Oct 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey Kamal Acharya Waleed Raza Carlos Dourado Alvaro Velasquez Houbing Song NAI OffRL 27 16 0 02 Sep 2023
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing Ting Li C. Shi Zhaohua Lu Yi Li Hongtu Zhu 41 2 0 17 May 2023
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 21 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 11 4 0 28 Feb 2023
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency Alex J. Chin Zhiwei Qin 11 2 0 28 Feb 2023
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads Vincent Mai Philippe Maisonneuve Tianyu Zhang Hadi Nekoei Liam Paull Antoine Lesage-Landry AI4CE 19 5 0 06 Jan 2023
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 29 14 0 26 Oct 2022
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach Monika Filipovska Michael F. Hyland Haimanti Bala 17 0 0 16 Oct 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments S. Luo Ying Yang Chengchun Shi Fang Yao Jieping Ye Hongtu Zhu 41 5 0 22 Feb 2022
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning Xinwu Qian Shuocheng Guo Vaneet Aggarwal 19 19 0 09 Sep 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 27 36 0 05 Aug 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 136 193 0 19 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 35 63 0 05 Oct 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 95 139 0 13 Feb 2020