Framework for control and deep reinforcement learning in traffic. - Cathy Wu 002; Kanaad Parvate; Nishant Kheterpal; Leah Dickstein; Ankur Mehta; Eugene Vinitsky; Alexandre M. Bayen (ITSC, 2017)

Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control. - Cathy Wu 002; Aboudy Kreidieh; Kanaad Parvate; Eugene Vinitsky; Alexandre M. Bayen (CoRR, 2017)

Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion. - Eugene Vinitsky; Kanaad Parvate; Aboudy Kreidieh; Cathy Wu 002; Alexandre M. Bayen (ITSC, 2018)

Robust Reinforcement Learning using Adversarial Populations. - Eugene Vinitsky; Yuqing Du; Kanaad Parvate; Kathy Jang; Pieter Abbeel; Alexandre M. Bayen (CoRR, 2020)

Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL. - Eugene Vinitsky; Nathan Lichtle; Kanaad Parvate; Alexandre M. Bayen (CoRR, 2020)

Flow: A Modular Learning Framework for Mixed Autonomy Traffic. - Cathy Wu 002; Abdul Rahman Kreidieh; Kanaad Parvate; Eugene Vinitsky; Alexandre M. Bayen (IEEE Trans. Robotics, 2022)

Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning. - Eugene Vinitsky; Nathan Lichtlé; Kanaad Parvate; Alexandre M. Bayen (ACM Trans. Cyber Phys. Syst., 2023)