Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective

16 April 2014

Papers citing "Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective"

50 / 57 papers shown

Title
Reproducibility in the Control of Autonomous Mobility-on-Demand Systems Xinling Li Meshal Alharbi Daniele Gammelli James Harrison Filipe Rodrigues Maximilian Schiffer Marco Pavone Emilio Frazzoli Jinhua Zhao G. Zardini 15 0 0 09 Jun 2025
Robo-taxi Fleet Coordination at Scale via Reinforcement Learning Luigi Tresca Carolin Schmidt James Harrison Filipe Rodrigues G. Zardini Daniele Gammelli Marco Pavone 99 3 0 08 Apr 2025
Provably Stable Multi-Agent Routing with Bounded-Delay Adversaries in the Decision Loop Roee M. Francos Daniel Garces Stephanie Gil 112 0 0 01 Apr 2025
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale Emile Anand Guannan Qu 118 5 0 01 Mar 2024
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System Xiaotong Guo Hanyong Xu Dingyi Zhuang Yunhan Zheng Jinhua Zhao 58 7 0 29 Dec 2023
Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map (extended version) Daniel Garces Sushmita Bhattacharya Dimitri Bertsekas Stephanie Gil 110 2 0 02 Nov 2023
Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems Ali Aalipour Alireza Khani 47 5 0 16 Sep 2023
Optimizing Task Waiting Times in Dynamic Vehicle Routing Alexander Botros Barry Gilhuly Nils Wilde Armin Sadeghi Javier Alonso-Mora Stephen L. Smith 38 5 0 08 Jul 2023
Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare Daniel Garces Stephanie Gil AI4TS 74 2 0 05 Jul 2023
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning Matej Jusup Barna Pásztor Tadeusz Janik Kecheng Zhang Francesco Corman Andreas Krause Ilija Bogunovic 83 3 0 29 Jun 2023
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games Zhaoyi Zhou Zaiwei Chen Yiheng Lin Adam Wierman 116 7 0 08 Mar 2023
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning Carolin Schmidt Daniele Gammelli Francisco Câmara Pereira Filipe Rodrigues OffRL 77 5 0 28 Feb 2023
Scalable Multi-Agent Reinforcement Learning with General Utilities Donghao Ying Yuhao Ding Alec Koppel Javad Lavaei 75 2 0 15 Feb 2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control Kai Jungel Axel Parmentier Maximilian Schiffer Thibaut Vidal 58 14 0 08 Feb 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Tobias Enders James Harrison Marco Pavone Maximilian Schiffer 75 25 0 14 Dec 2022
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties Sihong He Zhili Zhang Shuo Han Lynn Pepin Guang Wang Desheng Zhang John A. Stankovic Fei Miao 69 31 0 24 Nov 2022
Simulating Ride-Pooling Services with Pre-Booking and On-Demand Customers Roman Engelhardt Florian Dandl Klaus Bogenberger 21 1 0 13 Oct 2022
FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services Roman Engelhardt Florian Dandl Syed Arsalan Ali Yunfei Zhang Fabian Fehn Fynn Wolf Klaus Bogenberger 32 20 0 28 Jul 2022
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 88 5 0 23 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
Analysis and Control of Autonomous Mobility-on-Demand Systems G. Zardini Nicolas Lanzetti Marco Pavone Emilio Frazzoli 102 81 0 28 Jun 2021
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 70 183 0 08 Jun 2021
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem Erotokritos Skordilis Yi Hou Charles Edison Tripp Matthew Moniot P. Graf David J. Biagioni 35 16 0 27 May 2021
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching Runzhe Wan Sheng Zhang C. Shi Shuang Luo R. Song AI4TS 70 3 0 27 May 2021
Multi-Tier Adaptive Memory Programming and Cluster- and Job-based Relocation for Distributed On-demand Crowdshipping T. Ahamed Bo Zou 37 1 0 14 May 2021
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch Benjamin Rivière Soon-Jo Chung 20 3 0 05 May 2021
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems Daniele Gammelli Kaidi Yang James Harrison Filipe Rodrigues Francisco Câmara Pereira Marco Pavone GNN 98 48 0 23 Apr 2021
Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network Takuma Oda 52 9 0 13 Feb 2021
Improved Swarm Engineering: Aligning Intuition and Analysis John Harwell Maria Gini 30 3 0 08 Dec 2020
PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning Kaushik Manchella Marina Haliem Vaneet Aggarwal Bharat K. Bhargava 65 22 0 17 Nov 2020
Spatiotemporal Characteristics of Ride-sourcing Operation in Urban Area Simon Oh Dániel Kondor Ravi Seshadri Meng Zhou Diem-Trinh Le M. Ben-Akiva 15 0 0 16 Nov 2020
Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective Simon Oh Antonis F. Lentzakis Ravi Seshadri M. Ben-Akiva 21 2 0 10 Nov 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 93 65 0 05 Oct 2020
Learn to Earn: Enabling Coordination within a Ride Hailing Fleet Harshal A. Chaudhari J. Byers Evimaria Terzi 69 6 0 19 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 84 70 0 11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 97 39 0 11 Jun 2020
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 68 35 0 05 Dec 2019
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning Ashutosh Singh Abubakr O. Alabbasi Vaneet Aggarwal 56 47 0 30 Oct 2019
Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems Xinghua Zheng M. Tang H. Zhuo Kevin X. Wen 17 8 0 20 Sep 2019
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests Taoan Huang Bohui Fang Xiaohui Bei Fei Fang 40 1 0 20 Jul 2019
On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks -- An Optimal Power Flow Approach Alvaro Estandia Maximilian Schiffer Federico Rossi Justin Luke E. Kara Ram Rajagopal Marco Pavone 62 42 0 01 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
Scalable and Congestion-aware Routing for Autonomous Mobility-on-Demand via Frank-Wolfe Optimization Kiril Solovey Mauro Salazar Marco Pavone 79 19 0 08 Mar 2019
On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems Mauro Salazar Federico Rossi Maximilian Schiffer C. Onder Marco Pavone 148 90 0 30 Apr 2018
MOVI: A Model-Free Approach to Dynamic Fleet Management Takuma Oda Carlee Joe-Wong 66 94 0 13 Apr 2018
Flow: A Modular Learning Framework for Mixed Autonomy Traffic Cathy Wu Abdul Rahman Kreidieh Kanaad Parvate Eugene Vinitsky Alexandre M. Bayen 102 162 0 16 Oct 2017
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems Rick Zhang Federico Rossi Kevin Wang David Hallac Jure Leskovec Marco Pavone 75 177 0 20 Sep 2017
On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms Federico Rossi Ramón Iglesias M. Alizadeh Marco Pavone 78 95 0 14 Sep 2017
Impact of Mobility-on-Demand on Traffic Congestion: Simulation-based Study David Fiedler Michal Čáp Michal Čertický 38 20 0 08 Aug 2017
Regulating Highly Automated Robot Ecologies: Insights from Three User Studies Wen-Chin Shen Alanoud Al Khemeiri Abdulla Almehrezi Wael Al Enezi Iyad Rahwan J. Crandall 25 8 0 07 Aug 2017