Eli Bronstein

15 papers A* 3A 2Misc 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
AssistanceZero: Scalably Solving Assistance Games.
ICML
Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca D. Dragan
2025 J jnl
AssistanceZero: Scalably Solving Assistance Games.
CoRR
Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca D. Dragan
2023 A conf
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios.
IROS
Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2023 A* conf
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.
NeurIPS
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2023 J jnl
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.
CoRR
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
2022 Misc conf
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula.
CoRL
Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2022 J jnl
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula.
CoRR
Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2022 A conf
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving.
IROS
Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2022 J jnl
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving.
CoRR
Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
2022 J jnl
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios.
CoRR
Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
2021 J jnl
Hierarchical Bayesian Framework for Bus Dwell Time Prediction.
IEEE Trans. Intell. Transp. Syst.
Isaac K. Isukapati, Conor Igoe, Eli Bronstein, Viraj Parimi, Stephen F. Smith
2019 — conf
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments.
CDC
Andrea Bajcsy, Somil Bansal, Eli Bronstein, Varun Tolani, Claire J. Tomlin
2019 J jnl
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments.
CoRR
Andrea Bajcsy, Somil Bansal, Eli Bronstein, Varun Tolani, Claire J. Tomlin
2019 A* conf
Hierarchical Game-Theoretic Planning for Autonomous Vehicles.
ICRA
Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan
2018 J jnl
Hierarchical Game-Theoretic Planning for Autonomous Vehicles.
CoRR
Jaime F. Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S. Shankar Sastry, Anca D. Dragan