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Cathy Wu
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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
357*2021
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
1652018
Stabilizing traffic with autonomous vehicles
C Wu, AM Bayen, A Mehta
2018 IEEE international conference on robotics and automation (ICRA), 6012-6018, 2018
1612018
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
1542018
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
1262018
Emergent behaviors in mixed-autonomy traffic
C Wu, A Kreidieh, E Vinitsky, AM Bayen
Conference on Robot Learning, 398-407, 2017
1202017
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
1022018
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
852021
Learning to delegate for large-scale vehicle routing
S Li, Z Yan, C Wu
Advances in Neural Information Processing Systems 34, 26198-26211, 2021
762021
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
562018
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
542017
Flow: A modular learning framework for autonomy in traffic
C Wu, A Kreidieh, K Parvate, E Vinitsky, AM Bayen
arXiv preprint arXiv:1710.05465, 2017
522017
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
512015
Learning eco-driving strategies at signalized intersections
V Jayawardana, C Wu
2022 European Control Conference (ECC), 383-390, 2022
262022
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
212022
Reinforcement learning for mixed autonomy intersections
Z Yan, C Wu
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
182021
Multi-lane reduction: A stochastic single-lane model for lane changing
C Wu, E Vinitsky, A Kreidieh, A Bayen
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
142017
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
122016
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
122016
Learning and Optimization for Mixed Autonomy Systems: A Mobility Context
C Wu
University of California, Berkeley, 2018
112018
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