Seuraa
Cathy Wu
Cathy Wu
MIT
Vahvistettu sähköpostiosoite verkkotunnuksessa mit.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
502*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
1892018
Stabilizing traffic with autonomous vehicles
C Wu, AM Bayen, A Mehta
2018 IEEE international conference on robotics and automation (ICRA), 6012-6018, 2018
1822018
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
1802018
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
1542018
Emergent behaviors in mixed-autonomy traffic
C Wu, A Kreidieh, E Vinitsky, AM Bayen
Conference on Robot Learning, 398-407, 2017
1442017
Learning to delegate for large-scale vehicle routing
S Li, Z Yan, C Wu
Advances in Neural Information Processing Systems 34, 26198-26211, 2021
1362021
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
1252018
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
982021
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
682018
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
602017
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
592015
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
462022
Learning eco-driving strategies at signalized intersections
V Jayawardana, C Wu
2022 European Control Conference (ECC), 383-390, 2022
402022
Reinforcement learning for mixed autonomy intersections
Z Yan, C Wu
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
262021
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
212023
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
172022
Piecewise constant policies for human-compatible congestion mitigation
M Sridhar, C Wu
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
172021
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
152017
Integer programming
C Wu
142021
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Artikkelit 1–20