An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments. - Andrea Bajcsy; Somil Bansal; Eli Bronstein; Varun Tolani; Claire J. Tomlin (CDC, 2019)

Hierarchical Game-Theoretic Planning for Autonomous Vehicles. - Jaime F. Fisac; Eli Bronstein; Elis Stefansson; Dorsa Sadigh; S. Shankar Sastry; Anca D. Dragan (ICRA, 2019)

Hierarchical Bayesian Framework for Bus Dwell Time Prediction. - Isaac K. Isukapati; Conor Igoe; Eli Bronstein; Viraj Parimi; Stephen F. Smith (IEEE Trans. Intell. Transp. Syst., 2021)

Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. - Eli Bronstein; Sirish Srinivasan; Supratik Paul; Aman Sinha 001; Matthew O'Kelly; Payam Nikdel; Shimon Whiteson (CoRL, 2022)

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. - Eli Bronstein; Mark Palatucci; Dominik Notz; Brandyn White; Alex Kuefler; Yiren Lu 001; Supratik Paul; Payam Nikdel; Paul Mougin; Hongge Chen; Justin Fu; Austin Abrams; et al. (IROS, 2022)

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. - Yiren Lu 001; Justin Fu; George Tucker; Xinlei Pan; Eli Bronstein; Rebecca Roelofs; Benjamin Sapp; Brandyn White; Aleksandra Faust; Shimon Whiteson; Dragomir Anguelov; Sergey Levine (IROS, 2023)

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. - Cole Gulino; Justin Fu; Wenjie Luo; George Tucker; Eli Bronstein; Yiren Lu 001; Jean Harb; Xinlei Pan; Yan Wang 051; Xiangyu Chen 007; John D. Co-Reyes; Rishabh Agarwal; et al. (NeurIPS, 2023)

AssistanceZero: Scalably Solving Assistance Games. - Cassidy Laidlaw; Eli Bronstein; Timothy Guo; Dylan Feng; Lukas Berglund; Justin Svegliato; Stuart Russell 001; Anca D. Dragan (CoRR, 2025)