| The surprising effectiveness of ppo in cooperative multi-agent games C Yu, A Velu, E Vinitsky, J Gao, Y Wang, A Bayen, Y Wu Advances in Neural Information Processing Systems 35, 24611-24624, 2022 | 381 | 2022 |
| 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 | 202 | 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 | 127 | 2018 |
| Emergent behaviors in mixed-autonomy traffic C Wu, A Kreidieh, E Vinitsky, AM Bayen Conference on Robot Learning, 398-407, 2017 | 103 | 2017 |
| Emergent complexity and zero-shot transfer via unsupervised environment design M Dennis, N Jaques, E Vinitsky, A Bayen, S Russell, A Critch, S Levine Advances in neural information processing systems 33, 13049-13061, 2020 | 101 | 2020 |
| 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 | 78 | 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 | 64 | 2019 |
| Metallization and Superconductivity in the Hydrogen-Rich Ionic Salt BaReH9 T Muramatsu, WK Wanene, M Somayazulu, E Vinitsky, D Chandra, ... The Journal of Physical Chemistry C 119 (32), 18007-18013, 2015 | 62 | 2015 |
| 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 | 61 | 2021 |
| Robust reinforcement learning using adversarial populations E Vinitsky, Y Du, K Parvate, K Jang, P Abbeel, A Bayen arXiv preprint arXiv:2008.01825, 2020 | 59 | 2020 |
| 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 | 49 | 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 | 48 | 2017 |
| Flow: A modular learning framework for autonomy in traffic C Wu, A Kreidieh, K Parvate, E Vinitsky, AM Bayen arXiv preprint arXiv:1710.05465, 2017 | 46 | 2017 |
| 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 | 41 | 2020 |
| Particle dynamics in damped nonlinear quadrupole ion traps EA Vinitsky, ED Black, KG Libbrecht American Journal of Physics 83 (4), 313-319, 2015 | 28 | 2015 |
| A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings E Vinitsky, R Köster, JP Agapiou, EA Duéñez-Guzmán, AS Vezhnevets, ... Collective Intelligence 2 (2), 26339137231162025, 2023 | 17 | 2023 |
| The surprising effectiveness of ppo in cooperative, multi-agent games. arXiv 2021 C Yu, A Velu, E Vinitsky, Y Wang, A Bayen, Y Wu arXiv preprint arXiv:2103.01955, 0 | 16 | |
| The surprising effectiveness of MAPPO in cooperative C Yu, A Velu, E Vinitsky, J Gao, Y Wang, A Bayen, Y Wu Multi Agent Games, 2021 | 14 | 2021 |
| Optimizing mixed autonomy traffic flow with decentralized autonomous vehicles and multi-agent rl E Vinitsky, N Lichtle, K Parvate, A Bayen arXiv preprint arXiv:2011.00120, 2020 | 14 | 2020 |
| 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 |
Alexandre BayenProfessor Electrical Engineering and Computer Science, UC BerkeleyVerified email at berkeley.edu
