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Cathy Wu 0002
Person information
- affiliation: MIT, Cambridge, MA, USA
- affiliation (PhD): University of California Berkeley, Department of Electrical Engineering and Computer Science, CA, USA
Other persons with the same name
- Cathy H. Wu
(aka: Cathy Wu 0001) — University of Delaware, Newark, DE, USA
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2020 – today
- 2024
- [j7]Sirui Li
Integrated Analysis of Coarse-Grained Guidance for Traffic Flow Stability. IEEE Trans. Control. Netw. Syst. 11(3): 1382-1394 (2024) - [j6]Dajiang Suo
Model-Free Learning of Corridor Clearance: A Near-Term Deployment Perspective. IEEE Trans. Intell. Transp. Syst. 25(6): 4833-4848 (2024) - [j5]Sirui Li
Hybrid System Stability Analysis of Multilane Mixed-Autonomy Traffic. IEEE Trans. Robotics 40: 4469-4489 (2024) - [c28]M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu:
Incentive Design for Eco-driving in Urban Transportation Networks. ECC 2024: 986-991 - [c27]Zhongxia Yan, Cathy Wu:
Neural Neighborhood Search for Multi-agent Path Finding. ICLR 2024 - [c26]Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Zeiynali Farid, Kentaro Oguchi:
Generalizing Cooperative Eco-driving via Multi-residual Task Learning. ICRA 2024: 6836-6842 - [c25]Zhongxia Yan, Han Zheng, Cathy Wu:
Multi-agent Path Finding for Cooperative Autonomous Driving. ICRA 2024: 12361-12367 - [c24]Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili, Hamed Tabkhi, Cathy Wu:
Expert with Clustering: Hierarchical Online Preference Learning Framework. L4DC 2024: 707-718 - [i35]Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili, Hamed Tabkhi, Cathy Wu:
Expert with Clustering: Hierarchical Online Preference Learning Framework. CoRR abs/2401.15062 (2024) - [i34]Zhongxia Yan, Han Zheng, Cathy Wu:
Multi-agent Path Finding for Cooperative Autonomous Driving. CoRR abs/2402.00334 (2024) - [i33]Vindula Jayawardana
Generalizing Cooperative Eco-driving via Multi-residual Task Learning. CoRR abs/2403.04232 (2024) - [i32]Ao Qu, Anirudh Valiveru, Catherine Tang, Vindula Jayawardana
What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap. CoRR abs/2405.13480 (2024) - [i31]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell:
Cooperative Advisory Residual Policies for Congestion Mitigation. CoRR abs/2407.00553 (2024) - [i30]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs Campbell:
Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study. CoRR abs/2407.13775 (2024) - [i29]Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy Wu:
Model-Based Transfer Learning for Contextual Reinforcement Learning. CoRR abs/2408.04498 (2024) - [i28]Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Edgar Sanchez, Catherine Tang, Mark Taylor, Blaine Leonard, Cathy Wu:
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale. CoRR abs/2408.05609 (2024) - [i27]Tianyue Zhou, Jung-Hoon Cho, Cathy Wu:
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems. CoRR abs/2408.07897 (2024) - [i26]Han Zheng, Zhongxia Yan, Cathy Wu:
Multi-agent Path Finding for Mixed Autonomy Traffic Coordination. CoRR abs/2409.03881 (2024) - [i25]Cameron Hickert, Zhongxia Yan, Cathy Wu:
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets. CoRR abs/2409.09500 (2024) - [i24]Yuxuan Zhu, Shiyi Wang, Wenqing Zhong, Nianchen Shen, Yunqi Li, Siqi Wang, Zhiheng Li, Cathy Wu, Zhengbing He, Li Li:
Will Large Language Models be a Panacea to Autonomous Driving? CoRR abs/2409.14165 (2024) - [i23]M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu:
Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation. CoRR abs/2410.07952 (2024) - [i22]Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li:
Towards Foundation Models for Mixed Integer Linear Programming. CoRR abs/2410.08288 (2024) - [i21]Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu:
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning. CoRR abs/2410.15221 (2024) - 2023
- [j4]Zhongxia Yan
Unified Automatic Control of Vehicular Systems With Reinforcement Learning. IEEE Trans Autom. Sci. Eng. 20(2): 789-804 (2023) - [j3]Cameron Hickert
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic. IEEE Trans. Robotics 39(4): 2751-2769 (2023) - [c23]Sirui Li, Roy Dong, Cathy Wu:
Stabilization Guarantees of Human-Compatible Control via Lyapunov Analysis. ECC 2023: 1-8 - [c22]Sanjula Jayawardana, Vindula Jayawardana
Multi-behavior Learning for Socially Compatible Autonomous Driving. ITSC 2023: 4422-4427 - [c21]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs Campbell:
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. ITSC 2023: 5078-5085 - [c20]Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu:
Learning to Configure Separators in Branch-and-Cut. NeurIPS 2023 - [i20]Sirui Li, Roy Dong, Cathy Wu:
Integrated Analysis of Human-compatible Control for Traffic Flow Stability. CoRR abs/2301.04043 (2023) - [i19]Aamir Hasan
Towards Co-operative Congestion Mitigation. CoRR abs/2302.09140 (2023) - [i18]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell:
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. CoRR abs/2308.00864 (2023) - [i17]Sirui Li, Roy Dong, Cathy Wu:
Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic. CoRR abs/2310.07689 (2023) - [i16]M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu:
Incentive Design for Eco-driving in Urban Transportation Networks. CoRR abs/2311.03682 (2023) - [i15]Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu:
Learning to Configure Separators in Branch-and-Cut. CoRR abs/2311.05650 (2023) - [i14]Edgar Ramirez Sanchez, Shreyaa Raghavan, Cathy Wu:
Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion. CoRR abs/2312.03186 (2023) - [i13]Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu:
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy. CoRR abs/2312.09436 (2023) - [i12]Dajiang Suo, Vindula Jayawardana
Model-free Learning of Corridor Clearance: A Near-term Deployment Perspective. CoRR abs/2312.10339 (2023) - 2022
- [j2]Cathy Wu
Flow: A Modular Learning Framework for Mixed Autonomy Traffic. IEEE Trans. Robotics 38(2): 1270-1286 (2022) - [c19]Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li:
The Third Workshop on Data-driven Intelligent Transportation. CIKM 2022: 5177-5178 - [c18]Vindula Jayawardana
Learning Eco-Driving Strategies at Signalized Intersections. ECC 2022: 383-390 - [c17]Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana
The Braess's Paradox in Dynamic Traffic. ITSC 2022: 1018-1023 - [c16]Vindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu:
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning. NeurIPS 2022 - [i11]Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana
The Braess Paradox in Dynamic Traffic. CoRR abs/2203.03726 (2022) - [i10]Vindula Jayawardana
Learning Eco-Driving Strategies at Signalized Intersections. CoRR abs/2204.12561 (2022) - [i9]Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu:
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. CoRR abs/2205.07395 (2022) - [i8]Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu:
Unified Automatic Control of Vehicular Systems with Reinforcement Learning. CoRR abs/2208.00268 (2022) - [i7]Vindula Jayawardana
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning. CoRR abs/2210.08607 (2022) - 2021
- [c15]Vindula Jayawardana
Mixed Autonomous Supervision in Traffic Signal Control. ITSC 2021: 1767-1773 - [c14]Zhongxia Yan
Reinforcement Learning for Mixed Autonomy Intersections. ITSC 2021: 2089-2094 - [c13]Mayuri Sridhar, Cathy Wu:
Piecewise Constant Policies for Human-Compatible Congestion Mitigation. ITSC 2021: 2499-2505 - [c12]Sirui Li, Zhongxia Yan, Cathy Wu:
Learning to delegate for large-scale vehicle routing. NeurIPS 2021: 26198-26211 - [i6]Sirui Li, Zhongxia Yan, Cathy Wu:
Learning to Delegate for Large-scale Vehicle Routing. CoRR abs/2107.04139 (2021) - [i5]Zhongxia Yan, Cathy Wu:
Reinforcement Learning for Mixed Autonomy Intersections. CoRR abs/2111.04686 (2021) - [i4]Cameron Hickert, Sirui Li, Cathy Wu:
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic. CoRR abs/2112.07569 (2021) - [i3]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:
It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process. CoRR abs/2112.09544 (2021) - 2020
- [j1]Cathy Wu
Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing. IEEE Trans. Intell. Transp. Syst. 21(4): 1547-1559 (2020)
2010 – 2019
- 2018
- [b1]Cathy Wu:
Learning and Optimization for Mixed Autonomy Systems - A Mobility Context. University of California, Berkeley, USA, 2018 - [c11]Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen:
Benchmarks for reinforcement learning in mixed-autonomy traffic. CoRL 2018: 399-409 - [c10]Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel:
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. ICLR 2018 - [c9]Cathy Wu, Alexandre M. Bayen, Ankur Mehta:
Stabilizing Traffic with Autonomous Vehicles. ICRA 2018: 1-7 - [c8]Eugene Vinitsky, Kanaad Parvate, Aboudy Kreidieh, Cathy Wu, Alexandre M. Bayen:
Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion. ITSC 2018: 759-765 - [c7]Abdul Rahman Kreidieh, Cathy Wu, Alexandre M. Bayen:
Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning. ITSC 2018: 1475-1480 - [i2]Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel:
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. CoRR abs/1803.07246 (2018) - 2017
- [c6]Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen:
Emergent Behaviors in Mixed-Autonomy Traffic. CoRL 2017: 398-407 - [c5]Cathy Wu, Kanaad Parvate, Nishant Kheterpal
Framework for control and deep reinforcement learning in traffic. ITSC 2017: 1-8 - [c4]Cathy Wu, Eugene Vinitsky, Aboudy Kreidieh, Alexandre M. Bayen:
Multi-lane reduction: A stochastic single-lane model for lane changing. ITSC 2017: 1-8 - [i1]Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen:
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control. CoRR abs/1710.05465 (2017) - 2016
- [c3]Cathy Wu, Ece Kamar, Eric Horvitz:
Clustering for set partitioning with a case study in ridesharing. ITSC 2016: 1384-1388 - [c2]Cathy Wu, Kalyanaraman Shankari, Ece Kamar, Randy H. Katz, David E. Culler, Christos H. Papadimitriou, Eric Horvitz, Alexandre M. Bayen:
Optimizing the diamond lane: A more tractable carpool problem and algorithms. ITSC 2016: 1389-1396 - 2015
- [c1]Jerome Thai, Cathy Wu, Alexey Pozdnukhov, Alexandre M. Bayen:
Projected sub-gradient with ℓ1 or simplex constraints via isotonic regression. CDC 2015: 2031-2036
Coauthor Index
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