| 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 | 179 | 2018 |
| Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles K Jang, E Vinitsky, B Chalaki, B Remer, L Beaver, AA Malikopoulos, ... Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019 | 100 | 2019 |
| Robust reinforcement learning using adversarial populations E Vinitsky, Y Du, K Parvate, K Jang, P Abbeel, A Bayen arXiv preprint arXiv:2008.01825, 2020 | 93 | 2020 |
| Zero-shot autonomous vehicle policy transfer: From simulation to real-world via adversarial learning B Chalaki, LE Beaver, B Remer, K Jang, E Vinitsky, AM Bayen, ... 2020 IEEE 16th international conference on control & automation (ICCA), 35-40, 2020 | 55 | 2020 |
| 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 | 14 | 2024 |
| Flow: Open source reinforcement learning for traffic control N Kheterpal, E Vinitsky, C Wu, A Kreidieh, K Jang, K Parvate, A Bayen | 9 | 2018 |
| The i-24 trajectory dataset M Nice, N Lichtle, G Gumm, M Roman, E Vinitsky, S Elmadani, M Bunting, ... Vanderbilt Univ., Nashville, TN (United States); University of California …, 2021 | 7 | 2021 |
| Traffic smoothing via connected & automated vehicles: A modular, hierarchical control design deployed in a 100-cav flow smoothing experiment JW Lee, H Wang, K Jang, A Hayat, M Bunting, A Alanqary, W Barbour, ... IEEE Control Systems Magazine, 2024 | 6 | 2024 |
| Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test K Jang, N Lichtlé, E Vinitsky, A Shah, M Bunting, M Nice, B Piccoli, ... arXiv preprint arXiv:2402.17050, 2024 | 4 | 2024 |
| Traffic smoothing controllers for autonomous vehicles using deep reinforcement learning and real-world trajectory data N Lichtlé, K Jang, A Shah, E Vinitsky, JW Lee, AM Bayen 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 3 | 2023 |
| Cloud-based stop-and-go mitigation system with multi-lane sensing K Jang, YZ Farid, K Oguchi US Patent App. 17/943,917, 2024 | | 2024 |
| Traffic Control via Connected and Automated Vehicles JW LEE, HAN WANG, K JANG, A HAYAT arXiv preprint arXiv:2402.17043, 2024 | | 2024 |
| Cooperative Reinforcement Learning-based Damping of Lane-Change-Induced Waves K Jang, Y Farid, K Oguchi 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | | 2023 |
| Using Automated Vehicle (AV) Technology to Smooth Traffic Flow and Reduce Greenhouse Gas Emissions S Almatrudi, K Parvate, D Rothchild, U Vijay | | 2022 |
| Robust deep-reinforcement learning policies for mixed-autonomy traffic K Jang | | 2021 |
