Bruce D. Lee

34 papers A* 2A 1C 1Journal 19Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimistic Online LQR via Intrinsic Rewards.
CoRR
Marcell Bartos, Bruce D. Lee, Lenart Treven, Andreas Krause, Florian Dörfler, Melanie N. Zeilinger
2026 J jnl
Statistical Efficiency of Single- and Multi-step Models for Forecasting and Control.
CoRR
Anne Somalwar, Bruce D. Lee, George J. Pappas, Nikolai Matni
2025 — conf
Domain Randomization is Sample Efficient for Linear Quadratic Control.
L4DC
Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas
2025 J jnl
Domain Randomization is Sample Efficient for Linear Quadratic Control.
CoRR
Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas
2025 — conf
Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error.
CDC
Anne Somalwar, Bruce D. Lee, George J. Pappas, Nikolai Matni
2025 J jnl
Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error.
CoRR
Anne Somalwar, Bruce D. Lee, George J. Pappas, Nikolai Matni
2025 — conf
Logarithmic Regret for Nonlinear Control.
L4DC
James Wang, Bruce D. Lee, Ingvar M. Ziemann, Nikolai Matni
2025 J jnl
Logarithmic Regret for Nonlinear Control.
CoRR
James Wang, Bruce D. Lee, Ingvar M. Ziemann, Nikolai Matni
2025 J jnl
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation.
IEEE Trans. Autom. Control.
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2025 — conf
Policy Gradient for LQR with Domain Randomization.
CDC
Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas
2025 J jnl
Policy Gradient for LQR with Domain Randomization.
CoRR
Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas
2025 A* conf
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control.
AAAI
Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni
2024 — conf
Active Learning for Control-Oriented Identification of Nonlinear Systems.
CDC
Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024 J jnl
Active Learning for Control-Oriented Identification of Nonlinear Systems.
CoRR
Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024 A* conf
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples.
ICML
Thomas T. C. K. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024 J jnl
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples.
CoRR
Thomas T. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024 J jnl
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification.
CoRR
Bruce D. Lee, Anders Rantzer, Nikolai Matni
2024 — conf
Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification.
L4DC
Bruce D. Lee, Anders Rantzer, Nikolai Matni
2024 J jnl
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control.
CoRR
Bruce D. Lee, Leonardo F. Toso, Thomas T. C. K. Zhang, James Anderson, Nikolai Matni
2024 A conf
Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies.
IROS
Bo Wu, Bruce D. Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni
2024 J jnl
Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies.
CoRR
Bo Wu, Bruce D. Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni
2023 — conf
A Tutorial on the Non-Asymptotic Theory of System Identification.
CDC
Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas
2023 J jnl
A Tutorial on the Non-Asymptotic Theory of System Identification.
CoRR
Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas
2023 C conf
Adversarial Tradeoffs in Robust State Estimation.
ACC
Thomas T. C. K. Zhang, Bruce D. Lee, Hamed Hassani, Nikolai Matni
2023 — conf
Multi-Task Imitation Learning for Linear Dynamical Systems.
L4DC
Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni
2023 J jnl
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation.
CoRR
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2023 — conf
The Fundamental Limitations of Learning Linear-Quadratic Regulators.
CDC
Bruce D. Lee, Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
2023 J jnl
The Fundamental Limitations of Learning Linear-Quadratic Regulators.
CoRR
Bruce D. Lee, Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
2022 J jnl
Multi-Task Imitation Learning for Linear Dynamical Systems.
CoRR
Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni
2022 — conf
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control.
CDC
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022 J jnl
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control.
CoRR
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2021 J jnl
Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation.
CoRR
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2021 — conf
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
L4DC
Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman
2021 J jnl
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
CoRR
Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman