| Optimizing mixed autonomy traffic flow with decentralized autonomous vehicles and multi-agent reinforcement learning E Vinitsky, N Lichtlé, K Parvate, A Bayen ACM Transactions on Cyber-Physical Systems 7 (2), 1-22, 2023 | 24* | 2023 |
| Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world E Vinitsky, N Lichtlé, X Yang, B Amos, J Foerster Advances in Neural Information Processing Systems 35, 3962-3974, 2022 | 24 | 2022 |
| Deploying traffic smoothing cruise controllers learned from trajectory data N Lichtlé, E Vinitsky, M Nice, B Seibold, D Work, AM Bayen 2022 International Conference on Robotics and Automation (ICRA), 2884-2890, 2022 | 24 | 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 | 21 | 2021 |
| Fuel consumption reduction of multi-lane road networks using decentralized mixed-autonomy control N Lichtlé, E Vinitsky, G Gunter, A Velu, AM Bayen 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 6 | 2021 |
| The i-24 trajectory dataset M Nice, N Lichtle, G Gumm, M Roman, E Vinitsky, S Elmadani, M Bunting, ... Version 1 (0), 2021 | 6 | 2021 |
| Yiling You, Rayyan Nasr, and Alexandre M Bayen. Inter-level cooperation in hierarchical reinforcement learning AR Kreidieh, S Parajuli, N Lichtle arXiv preprint arXiv:1912.02368, 2019 | 3* | 2019 |
| 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 |
| 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 | 1 | 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 | 1 | 2023 |
| Reinforcement Learning in Control Theory: A New Approach to Mathematical Problem Solving KA Bidi, JM Coron, A Hayat, N Lichtlé arXiv preprint arXiv:2310.13072, 2023 | | 2023 |
| Energy Optimization of Traffic at Scale using Reinforcement Learning E Vinitsky, N Lichtle, A Kriedieh, J Lee, A Velu, S Almatrudi, J Carpio, ... Regents Of The University Of California, The”, 2020 | | 2020 |
