| 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 | 501* | 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 | 195 | 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 | 179 | 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 | 146 | 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 | 134 | 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 | 99 | 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 | 46 | 2022 |
| Learning eco-driving strategies at signalized intersections V Jayawardana, C Wu 2022 European Control Conference (ECC), 383-390, 2022 | 43 | 2022 |
| Reinforcement learning for mixed autonomy intersections Z Yan, C Wu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 25 | 2021 |
| 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 | 18 | 2023 |
| 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 |
| Piecewise constant policies for human-compatible congestion mitigation M Sridhar, C Wu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 17 | 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 |
| 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 | 15 | 2017 |
Alexandre BayenProfessor Electrical Engineering and Computer Science, UC BerkeleyZweryfikowany adres z berkeley.edu