| Flow: Architecture and benchmarking for reinforcement learning in traffic control C Wu, A Kreidieh, K Parvate, E Vinitsky, AM Bayen arXiv preprint arXiv:1710.05465 10, 2017 | 253 | 2017 |
| 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 | 160 | 2018 |
| 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 | 135 | 2021 |
| 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 | 131 | 2018 |
| Emergent behaviors in mixed-autonomy traffic C Wu, A Kreidieh, E Vinitsky, AM Bayen Conference on Robot Learning, 398-407, 2017 | 122 | 2017 |
| 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 | 105 | 2018 |
| 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 | 56 | 2018 |
| Guardians of the deep fog: Failure-resilient DNN inference from edge to cloud A Yousefpour, S Devic, BQ Nguyen, A Kreidieh, A Liao, AM Bayen, JP Jue Proceedings of the first international workshop on challenges in artificial …, 2019 | 23 | 2019 |
| 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 | 21 | 2022 |
| Integrated framework of vehicle dynamics, instabilities, energy models, and sparse flow smoothing controllers JW Lee, G Gunter, R Ramadan, S Almatrudi, P Arnold, J Aquino, ... Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical …, 2021 | 20 | 2021 |
| Multi‐receptive field graph convolutional neural networks for pedestrian detection C Shen, X Zhao, X Fan, X Lian, F Zhang, AR Kreidieh, Z Liu IET Intelligent Transport Systems 13 (9), 1319-1328, 2019 | 19 | 2019 |
| Inter-level cooperation in hierarchical reinforcement learning AR Kreidieh, G Berseth, B Trabucco, S Parajuli, S Levine, AM Bayen arXiv preprint arXiv:1912.02368, 2019 | 14 | 2019 |
| 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 | 14 | 2017 |
| Resilinet: Failure-resilient inference in distributed neural networks A Yousefpour, BQ Nguyen, S Devic, G Wang, A Kreidieh, H Lobel, ... arXiv preprint arXiv:2002.07386, 2020 | 12 | 2020 |
| Flow: Open source reinforcement learning for traffic control N Kheterpal, E Vinitsky, C Wu, A Kreidieh, K Jang, K Parvate, A Bayen | 7 | 2018 |
| Cooperative driving for speed harmonization in mixed-traffic environments Z Fu, AR Kreidieh, H Wang, JW Lee, ML Delle Monache, AM Bayen 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 5 | 2023 |
| Learning energy-efficient driving behaviors by imitating experts AR Kreidieh, Z Fu, AM Bayen 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 3 | 2022 |
| Lane assignment of connected vehicles via a hierarchical system AR Kreidieh, YZ Farid, K Oguchi 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 2 | 2022 |
| Non-local evasive overtaking of downstream incidents in distributed behavior planning of connected vehicles AR Kreidieh, Y Farid, K Oguchi 2022 IEEE Intelligent Vehicles Symposium (IV), 1453-1459, 2022 | 2 | 2022 |
| Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs JW Lee, H Wang, K Jang, A Hayat, M Bunting, A Alanqary, W Barbour, ... arXiv preprint arXiv:2402.17043, 2024 | 1 | 2024 |
Alexandre BayenProfessor Electrical Engineering and Computer Science, UC BerkeleyVerified email at berkeley.edu
