//Flow Publications
Where you can find relevant publications about the Flow project
| Title, Author, Journal/Conference, Year | File |
|---|---|
| "Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles", K. Jang, E. Vinitsky, B. Chalaki, B. Remer, L. Beaver, A. Malikopoulous, A. Bayen,ICCPS, 2019 | Download |
| "Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning", A. Kreidieh, C. Wu, A. Bayen, ITSC, 2018 | Download |
| "Flow: Open Source Reinforcement Learning for Traffic Control", N. Kheterpal, E. Vinitsky, C. Wu, A. Kreidieh, K. Jang, K. Parvate, A. Bayen, Workshop on Machine Learning Open Source Software, NeurIPS, 2018 | Download |
| "Benchmarks for reinforcement learning in mixed-autonomy traffic", E. Vinitsky, A. Kreidieh, L. Flem, N. Kheterpal, K. Jang, C. Wu, F. Wu, R. Liaw, E. Liang, A. Bayen, PMLR, Volume 87, 2018 When citing the benchmarks, please cite this paper | Download |
| "Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion", E. Vinitsky, K. Parvate, A. Kreidieh, C. Wu, Z. Hu, A. Bayen, ITSC, 2018 | Download |
| "Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control", C. Wu, A. Kreidieh, K. Parvate, E. Vinitsky, A. Bayen, arXiv preprint arXiv:1710.05465, 2017, When citing Flow, please cite this paper | Download |
| "Emergent behaviors in mixed-autonomy traffic", C. Wu, A. Kreidieh, E. Vinitsky, A. Bayen, PMLR, Volume 78, 2017 | Download |
| "Framework for Control and Deep Reinforcement Learning in Traffic", C. Wu, K. Parvate, N. Kheterpal, L. Dickstein, A. Mehta, E. Vinitsky, A. Bayen, ITSC, 2017 | Download |
| "Flow: Deep Reinforcement for Control in SUMO", N. Kheterpal, K. Parvate, C. Wu, A. Kreidieh, E. Vinitsky, A. Bayen, SUMO User Conference, 2017 | Download |