Cathy Wu

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Alexandre BayenProfessor Electrical Engineering and Computer Science, UC BerkeleyDirección de correo verificada de berkeley.edu
Eugene VinitskyAssistant Professor, NYUDirección de correo verificada de nyu.edu
Abdul Rahman KreidiehGoogle ResearchDirección de correo verificada de google.com
Kanaad ParvateDirección de correo verificada de google.com
Sirui LiPhD Student, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Zhongxia YanMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Vindula JayawardanaMITDirección de correo verificada de mit.edu
Nishant KheterpalRobotics Graduate Student, University of MichiganDirección de correo verificada de umich.edu
Ankur MehtaAssociate Professor of Electrical and Computer Engineering, UCLADirección de correo verificada de ucla.edu
Kathy JangUC BerkeleyDirección de correo verificada de berkeley.edu
Jason ErnstUniversity of GuelphDirección de correo verificada de uoguelph.ca
Lauren WilcoxGeorgia Tech; Google ResearchDirección de correo verificada de gatech.edu
Yonatan BiskAssistant Professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Jeffrey P. BighamCarnegie Mellon University & AppleDirección de correo verificada de cs.cmu.edu
Johannes SchöningSt. Gallen University, ITI/LARSyS, UCLDirección de correo verificada de unisg.ch
Jung-Hoon ChoMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Jerome ThaiPhD student in EECS, University of California, BerkeleyDirección de correo verificada de berkeley.edu
Alexei PozdnoukhovAssistant Professor, UC BerkeleyDirección de correo verificada de berkeley.edu
Ehsan HoqueProfessor of Computer Science, University of RochesterDirección de correo verificada de cs.rochester.edu
Danish ContractorIBM Research AIDirección de correo verificada de cam.ac.uk

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Cathy Wu

MIT

Dirección de correo verificada de mit.edu - Página principal

Machine learning Control Optimization Multi-agent systems Intelligent Transportation Systems


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Flow: A modular learning framework for mixed autonomy traffic C Wu, AR Kreidieh, K Parvate, E Vinitsky, AM Bayen IEEE Transactions on Robotics 38 (2), 1270-1286, 2021	499*	2021
Benchmarks for reinforcement learning in mixed-autonomy traffic E Vinitsky, A Kreidieh, L Le Flem, N Kheterpal, K Jang, C Wu, F Wu, ... Conference on robot learning, 399-409, 2018	194	2018
Stabilizing traffic with autonomous vehicles C Wu, AM Bayen, A Mehta 2018 IEEE international conference on robotics and automation (ICRA), 6012-6018, 2018	185	2018
Variance reduction for policy gradient with action-dependent factorized baselines C Wu, A Rajeswaran, Y Duan, V Kumar, AM Bayen, S Kakade, I Mordatch, ... International Conference on Learning Representations, 2018	178	2018
Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning AR Kreidieh, C Wu, AM Bayen 2018 21st international conference on intelligent transportation systems …, 2018	156	2018
Emergent behaviors in mixed-autonomy traffic C Wu, A Kreidieh, E Vinitsky, AM Bayen Conference on Robot Learning, 398-407, 2017	147	2017
Learning to delegate for large-scale vehicle routing S Li, Z Yan, C Wu Advances in Neural Information Processing Systems 34, 26198-26211, 2021	131	2021
Lagrangian control through deep-rl: Applications to bottleneck decongestion E Vinitsky, K Parvate, A Kreidieh, C Wu, A Bayen 2018 21st International Conference on Intelligent Transportation Systems …, 2018	126	2018
It's time to do something: Mitigating the negative impacts of computing through a change to the peer review process B Hecht, L Wilcox, JP Bigham, J Schöning, E Hoque, J Ernst, Y Bisk, ... arXiv preprint arXiv:2112.09544, 2021	98	2021
Flow: Deep reinforcement learning for control in sumo N Kheterpal, K Parvate, C Wu, A Kreidieh, E Vinitsky, A Bayen EPiC Series in Engineering 2, 134-151, 2018	67	2018
Framework for control and deep reinforcement learning in traffic C Wu, K Parvate, N Kheterpal, L Dickstein, A Mehta, E Vinitsky, AM Bayen 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017	60	2017
Cellpath: Fusion of cellular and traffic sensor data for route flow estimation via convex optimization C Wu, J Thai, S Yadlowsky, A Pozdnoukhov, A Bayen Transportation Research Procedia 7, 212-232, 2015	59	2015
Unified automatic control of vehicular systems with reinforcement learning Z Yan, AR Kreidieh, E Vinitsky, AM Bayen, C Wu IEEE Transactions on Automation Science and Engineering 20 (2), 789-804, 2022	45	2022
Learning eco-driving strategies at signalized intersections V Jayawardana, C Wu 2022 European Control Conference (ECC), 383-390, 2022	42	2022
Reinforcement learning for mixed autonomy intersections Z Yan, C Wu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021	25	2021
The impact of task underspecification in evaluating deep reinforcement learning V Jayawardana, C Tang, S Li, D Suo, C Wu Advances in Neural Information Processing Systems 35, 23881-23893, 2022	18	2022
Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark F Berto, C Hua, J Park, L Luttmann, Y Ma, F Bu, J Wang, H Ye, M Kim, ... arXiv preprint arXiv:2306.17100, 2023	17	2023
Piecewise constant policies for human-compatible congestion mitigation M Sridhar, C Wu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021	16	2021
Clustering for set partitioning with a case study in ridesharing C Wu, E Kamar, E Horvitz 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016	16	2016
Optimizing the diamond lane: A more tractable carpool problem and algorithms C Wu, K Shankari, E Kamar, R Katz, D Culler, C Papadimitriou, E Horvitz, ... 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016	15	2016

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