Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning. - Abdul Rahman Kreidieh; Cathy Wu 002; Alexandre M. Bayen (ITSC, 2018)

Inter-Level Cooperation in Hierarchical Reinforcement Learning. - Abdul Rahman Kreidieh; Samyak Parajuli; Nathan Lichtle; Yiling You; Rayyan Nasr; Alexandre M. Bayen (CoRR, 2019)

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. - Jonathan W. Lee; George Gunter; Rabie Ramadan 002; Sulaiman Almatrudi; Paige Arnold; John Aquino; William Barbour; Rahul Bhadani; Joy Carpio; Fang-Chieh Chou; Marsalis T. Gibson; Xiaoqian Gong; et al. (CoRR, 2021)

Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic. - Abdul Rahman Kreidieh; Yibo Zhao 006; Samyak Parajuli; Alexandre M. Bayen (AAMAS, 2022)

Learning energy-efficient driving behaviors by imitating experts. - Abdul Rahman Kreidieh; Zhe Fu; Alexandre M. Bayen (ITSC, 2022)

Lane assignment of connected vehicles via a hierarchical system. - Abdul Rahman Kreidieh; Yashar Zeiynali Farid; Kentaro Oguchi 001 (ITSC, 2022)

Non-local Evasive Overtaking of Downstream Incidents in Distributed Behavior Planning of Connected Vehicles. - Abdul Rahman Kreidieh; Yashar Zeiynali Farid; Kentaro Oguchi 001 (IV, 2022)

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)

Cooperative Driving for Speed Harmonization in Mixed-Traffic Environments. - Zhe Fu; Abdul Rahman Kreidieh; Han Wang 024; Jonathan W. Lee; Maria Laura Delle Monache; Alexandre M. Bayen (IV, 2023)

Lateral flow control of connected vehicles through deep reinforcement learning. - Abdul Rahman Kreidieh; Yashar Zeiynali Farid; Kentaro Oguchi 001 (IV, 2023)

Unified Automatic Control of Vehicular Systems With Reinforcement Learning. - Zhongxia Yan 001; Abdul Rahman Kreidieh; Eugene Vinitsky; Alexandre M. Bayen; Cathy Wu 002 (IEEE Trans Autom. Sci. Eng., 2023)

Improving Social Cost in Traffic Routing with Bounded Regret via Second-Best Tolls. - Arwa Alanqary; Abdul Rahman Kreidieh; Samitha Samaranayake; Alexandre M. Bayen (CDC, 2024)

Towards a Trajectory-powered Foundation Model of Mobility. - Shushman Choudhury; Abdul Rahman Kreidieh; Ivan Kuznetsov; Neha Arora (GeoIndstry@SIGSPATIAL, 2024)

Scalable Learning of Segment-Level Traffic Congestion Functions. - Shushman Choudhury; Abdul Rahman Kreidieh; Iveel Tsogsuren; Neha Arora; Carolina Osorio; Alexandre M. Bayen (ITSC, 2024)

Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic. - Han Wang 024; Zhe Fu; Jonathan W. Lee; Hossein Nick Zinat Matin; Arwa Alanqary; Daniel Urieli; Sharon Hornstein; Abdul Rahman Kreidieh; Raphaël Chekroun; William Barbour; William A. Richardson; Dan Work; et al. (CoRR, 2024)

Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. - Jonathan W. Lee; Han Wang 024; Kathy Jang; Amaury Hayat; Matthew R. Bunting; Arwa Alanqary; William Barbour; Zhe Fu; Xiaoqian Gong; George Gunter; Sharon Hornstein; Abdul Rahman Kreidieh; et al. (CoRR, 2024)

S2Vec: Self-Supervised Geospatial Embeddings. - Shushman Choudhury; Elad Aharoni; Chandrakumari Suvarna; Iveel Tsogsuren; Abdul Rahman Kreidieh; Chun-Ta Lu; Neha Arora (CoRR, 2025)