Cathy Wu

According to our database, Cathy Wu authored at least 57 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Integrated Analysis of Coarse-Grained Guidance for Traffic Flow Stability.

Sirui Li, Roy Dong, Cathy Wu

IEEE Trans. Control. Netw. Syst., September, 2024

Model-Free Learning of Corridor Clearance: A Near-Term Deployment Perspective.

Dajiang Suo, Vindula Jayawardana, Cathy Wu

IEEE Trans. Intell. Transp. Syst., June, 2024

Hybrid System Stability Analysis of Multilane Mixed-Autonomy Traffic.

Sirui Li, Roy Dong, Cathy Wu

IEEE Trans. Robotics, 2024

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning.

Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu

CoRR, 2024

Towards Foundation Models for Mixed Integer Linear Programming.

Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li

CoRR, 2024

Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation.

M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu

CoRR, 2024

Will Large Language Models be a Panacea to Autonomous Driving?

Yuxuan Zhu, Shiyi Wang, Wenqing Zhong, Nianchen Shen, Yunqi Li, Siqi Wang, Zhiheng Li, Cathy Wu, Zhengbing He, Li Li

CoRR, 2024

A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets.

Cameron Hickert, Zhongxia Yan, Cathy Wu

CoRR, 2024

Multi-agent Path Finding for Mixed Autonomy Traffic Coordination.

Han Zheng, Zhongxia Yan, Cathy Wu

CoRR, 2024

The Nah Bandit: Modeling User Non-compliance in Recommendation Systems.

Tianyue Zhou, Jung-Hoon Cho, Cathy Wu

CoRR, 2024

Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale.

Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Edgar Sanchez, Catherine Tang, Mark Taylor, Blaine Leonard, Cathy Wu

CoRR, 2024

Model-Based Transfer Learning for Contextual Reinforcement Learning.

Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy Wu

CoRR, 2024

Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study.

Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs Campbell

CoRR, 2024

Cooperative Advisory Residual Policies for Congestion Mitigation.

Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell

CoRR, 2024

What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap.

Ao Qu, Anirudh Valiveru, Catherine Tang, Vindula Jayawardana, Baptiste Freydt, Cathy Wu

CoRR, 2024

Expert with Clustering: Hierarchical Online Preference Learning Framework.

Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili, Hamed Tabkhi, Cathy Wu

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Generalizing Cooperative Eco-driving via Multi-residual Task Learning.

Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Zeiynali Farid, Kentaro Oguchi

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Multi-agent Path Finding for Cooperative Autonomous Driving.

Zhongxia Yan, Han Zheng, Cathy Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Neural Neighborhood Search for Multi-agent Path Finding.

Zhongxia Yan, Cathy Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Incentive Design for Eco-driving in Urban Transportation Networks.

M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu

Proceedings of the European Control Conference, 2024

2023

Cooperation for Scalable Supervision of Autonomy in Mixed Traffic.

Cameron Hickert, Sirui Li, Cathy Wu

IEEE Trans. Robotics, August, 2023

Unified Automatic Control of Vehicular Systems With Reinforcement Learning.

Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu

IEEE Trans Autom. Sci. Eng., April, 2023

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy.

Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu

CoRR, 2023

Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion.

Edgar Ramirez Sanchez, Shreyaa Raghavan, Cathy Wu

CoRR, 2023

Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic.

Sirui Li, Roy Dong, Cathy Wu

CoRR, 2023

Towards Co-operative Congestion Mitigation.

Aamir Hasan, Neeloy Chakraborty, Cathy Wu, Katherine Rose Driggs-Campbell

CoRR, 2023

Integrated Analysis of Human-compatible Control for Traffic Flow Stability.

Sirui Li, Roy Dong, Cathy Wu

CoRR, 2023

Learning to Configure Separators in Branch-and-Cut.

Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-behavior Learning for Socially Compatible Autonomous Driving.

Sanjula Jayawardana, Vindula Jayawardana, Kaneeka Vidanage, Cathy Wu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems.

Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs Campbell

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Stabilization Guarantees of Human-Compatible Control via Lyapunov Analysis.

Sirui Li, Roy Dong, Cathy Wu

Proceedings of the European Control Conference, 2023

2022

Flow: A Modular Learning Framework for Mixed Autonomy Traffic.

Cathy Wu, Abdul Rahman Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen

IEEE Trans. Robotics, 2022

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles.

Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu

CoRR, 2022

The Braess Paradox in Dynamic Traffic.

Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu

CoRR, 2022

The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning.

Vindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Braess's Paradox in Dynamic Traffic.

Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning Eco-Driving Strategies at Signalized Intersections.

Vindula Jayawardana, Cathy Wu

Proceedings of the European Control Conference, 2022

The Third Workshop on Data-driven Intelligent Transportation.

Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process.

Brent J. Hecht, Lauren Wilcox, Jeffrey P. Bigham, Johannes Schöning, Ehsan Hoque, Jason Ernst, Yonatan Bisk, Luigi De Russis, Lana Yarosh, Bushra Anjum, Danish Contractor, Cathy Wu

CoRR, 2021

Learning to delegate for large-scale vehicle routing.

Sirui Li, Zhongxia Yan, Cathy Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning for Mixed Autonomy Intersections.

Zhongxia Yan, Cathy Wu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Piecewise Constant Policies for Human-Compatible Congestion Mitigation.

Mayuri Sridhar, Cathy Wu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Mixed Autonomous Supervision in Traffic Signal Control.

Vindula Jayawardana, Anna Landler, Cathy Wu

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing.

Cathy Wu, Alexey Pozdnukhov, Alexandre M. Bayen

IEEE Trans. Intell. Transp. Syst., 2020

2018

Learning and Optimization for Mixed Autonomy Systems - A Mobility Context.

Cathy Wu

PhD thesis, 2018

Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion.

Eugene Vinitsky, Kanaad Parvate, Aboudy Kreidieh, Cathy Wu, Alexandre M. Bayen

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning.

Abdul Rahman Kreidieh, Cathy Wu, Alexandre M. Bayen

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Stabilizing Traffic with Autonomous Vehicles.

Cathy Wu, Alexandre M. Bayen, Ankur Mehta

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines.

Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel

Proceedings of the 6th International Conference on Learning Representations, 2018

Benchmarks for reinforcement learning in mixed-autonomy traffic.

Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control.

Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen

CoRR, 2017

Multi-lane reduction: A stochastic single-lane model for lane changing.

Cathy Wu, Eugene Vinitsky, Aboudy Kreidieh, Alexandre M. Bayen

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Framework for control and deep reinforcement learning in traffic.

Cathy Wu, Kanaad Parvate, Nishant Kheterpal, Leah Dickstein, Ankur Mehta, Eugene Vinitsky, Alexandre M. Bayen

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Emergent Behaviors in Mixed-Autonomy Traffic.

Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Optimizing the diamond lane: A more tractable carpool problem and algorithms.

Cathy Wu, Kalyanaraman Shankari, Ece Kamar, Randy H. Katz, David E. Culler, Christos H. Papadimitriou, Eric Horvitz, Alexandre M. Bayen

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Clustering for set partitioning with a case study in ridesharing.

Cathy Wu, Ece Kamar, Eric Horvitz

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Projected sub-gradient with ℓ1 or simplex constraints via isotonic regression.

Jerome Thai, Cathy Wu, Alexey Pozdnukhov, Alexandre M. Bayen

Proceedings of the 54th IEEE Conference on Decision and Control, 2015