Neural Approximate Dynamic Programming for On-Demand Ride-Pooling

20 November 2019

Papers citing "Neural Approximate Dynamic Programming for On-Demand Ride-Pooling"

14 / 14 papers shown

Title
DECAF: Learning to be Fair in Multi-agent Resource Allocation Ashwin Kumar William Yeoh 92 1 0 06 Feb 2025
Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework Yulong Hu Tingting Dong Sen Li OffRL OnRL 76 0 0 24 Jan 2025
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic Ziyan An Hendrik Baier Abhishek Dubey Ayan Mukhopadhyay Meiyi Ma LRM 46 4 0 15 Jul 2024
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems Ashwin Kumar Yevgeniy Vorobeychik William Yeoh 20 6 0 25 Mar 2023
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization Tanvi Verma Pradeep Varakantham 29 0 0 27 Dec 2022
ADPTriage: Approximate Dynamic Programming for Bug Triage H. Jahanshahi Mucahit Cevik Kianoush Mousavi Ayse Basar 16 3 0 02 Nov 2022
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services Michael Wilbur S. U. Kadir Youngseo Kim Geoffrey Pettet Ayan Mukhopadhyay Philip Pugliese Samitha Samaranayake Aron Laszka Abhishek Dubey 38 13 0 28 Mar 2022
Designing Decision Support Systems for Emergency Response: Challenges and Opportunities Geoffrey Pettet Hunter Baxter S. Vazirizade Hemant Purohit Meiyi Ma Ayan Mukhopadhyay Abhishek Dubey 27 4 0 23 Feb 2022
Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling Avinandan Bose Pradeep Varakantham 24 3 0 01 Dec 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
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 27 3 0 10 Aug 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 44 84 0 03 May 2021
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing Meghna Lowalekar Pradeep Varakantham Patrick Jaillet 9 13 0 13 Sep 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