Cathy Wu

Orcid: 0000-0001-8594-303X

Affiliations:
  • MIT, Cambridge, MA, USA
  • University of California Berkeley, Department of Electrical Engineering and Computer Science, CA, USA (PhD)


According to our database1, Cathy Wu authored at least 42 papers between 2015 and 2024.

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Timeline

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Bibliography

2024
Generalizing Cooperative Eco-driving via Multi-residual Task Learning.
CoRR, 2024

Multi-agent Path Finding for Cooperative Autonomous Driving.
CoRR, 2024

Expert with Clustering: Hierarchical Online Preference Learning Framework.
CoRR, 2024

2023
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic.
IEEE Trans. Robotics, August, 2023

Unified Automatic Control of Vehicular Systems With Reinforcement Learning.
IEEE Trans Autom. Sci. Eng., April, 2023

Model-free Learning of Corridor Clearance: A Near-term Deployment Perspective.
CoRR, 2023

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy.
CoRR, 2023

Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion.
CoRR, 2023

Incentive Design for Eco-driving in Urban Transportation Networks.
CoRR, 2023

Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic.
CoRR, 2023

Towards Co-operative Congestion Mitigation.
CoRR, 2023

Integrated Analysis of Human-compatible Control for Traffic Flow Stability.
CoRR, 2023

Learning to Configure Separators in Branch-and-Cut.
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.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Stabilization Guarantees of Human-Compatible Control via Lyapunov Analysis.
Proceedings of the European Control Conference, 2023

2022
Flow: A Modular Learning Framework for Mixed Autonomy Traffic.
IEEE Trans. Robotics, 2022

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles.
CoRR, 2022

The Braess Paradox in Dynamic Traffic.
CoRR, 2022

The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning.
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.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning Eco-Driving Strategies at Signalized Intersections.
Proceedings of the European Control Conference, 2022

The Third Workshop on Data-driven Intelligent Transportation.
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.
CoRR, 2021

Learning to delegate for large-scale vehicle routing.
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.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Piecewise Constant Policies for Human-Compatible Congestion Mitigation.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Mixed Autonomous Supervision in Traffic Signal Control.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing.
IEEE Trans. Intell. Transp. Syst., 2020

2018
Learning and Optimization for Mixed Autonomy Systems - A Mobility Context.
PhD thesis, 2018

Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion.
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.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Stabilizing Traffic with Autonomous Vehicles.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines.
Proceedings of the 6th International Conference on Learning Representations, 2018

Benchmarks for reinforcement learning in mixed-autonomy traffic.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control.
CoRR, 2017

Multi-lane reduction: A stochastic single-lane model for lane changing.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Framework for control and deep reinforcement learning in traffic.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Emergent Behaviors in Mixed-Autonomy Traffic.
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.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Clustering for set partitioning with a case study in ridesharing.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
Projected sub-gradient with ℓ1 or simplex constraints via isotonic regression.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


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