How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? - Jingxi Xu 002; Bruce D. Lee; Nikolai Matni; Dinesh Jayaraman (L4DC, 2021)

Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation. - Bruce D. Lee; Thomas T. C. K. Zhang; Hamed Hassani; Nikolai Matni (CoRR, 2021)

Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control. - Bruce D. Lee; Thomas T. C. K. Zhang; Hamed Hassani; Nikolai Matni (CDC, 2022)

Adversarial Tradeoffs in Robust State Estimation. - Thomas T. C. K. Zhang; Bruce D. Lee; Hamed Hassani; Nikolai Matni (ACC, 2023)

The Fundamental Limitations of Learning Linear-Quadratic Regulators. - Bruce D. Lee; Ingvar M. Ziemann; Anastasios Tsiamis; Henrik Sandberg; Nikolai Matni (CDC, 2023)

A Tutorial on the Non-Asymptotic Theory of System Identification. - Ingvar M. Ziemann; Anastasios Tsiamis; Bruce D. Lee; Yassir Jedra; Nikolai Matni; George J. Pappas (CDC, 2023)

Multi-Task Imitation Learning for Linear Dynamical Systems. - Thomas T. C. K. Zhang; Katie Kang; Bruce D. Lee; Claire J. Tomlin; Sergey Levine; Stephen Tu; Nikolai Matni (L4DC, 2023)

Active Learning for Control-Oriented Identification of Nonlinear Systems. - Bruce D. Lee; Ingvar M. Ziemann; George J. Pappas; Nikolai Matni (CDC, 2024)

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples. - Thomas T. C. K. Zhang; Bruce D. Lee; Ingvar M. Ziemann; George J. Pappas; Nikolai Matni (ICML, 2024)

Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies. - Bo Wu; Bruce D. Lee; Kostas Daniilidis; Bernadette Bucher; Nikolai Matni (IROS, 2024)

Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification. - Bruce D. Lee; Anders Rantzer; Nikolai Matni (L4DC, 2024)

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. - Bruce D. Lee; Leonardo F. Toso; Thomas T. C. K. Zhang; James Anderson 001; Nikolai Matni (CoRR, 2024)

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples. - Thomas T. Zhang; Bruce D. Lee; Ingvar M. Ziemann; George J. Pappas; Nikolai Matni (CoRR, 2024)

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. - Bruce D. Lee; Leonardo F. Toso; Thomas T. Zhang; James Anderson 001; Nikolai Matni (AAAI, 2025)

Domain Randomization is Sample Efficient for Linear Quadratic Control. - Tesshu Fujinami; Bruce D. Lee; Nikolai Matni; George J. Pappas (L4DC, 2025)

Logarithmic Regret for Nonlinear Control. - James Wang; Bruce D. Lee; Ingvar M. Ziemann; Nikolai Matni (L4DC, 2025)

Policy Gradient for LQR with Domain Randomization. - Tesshu Fujinami; Bruce D. Lee; Nikolai Matni; George J. Pappas (CoRR, 2025)

Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error. - Anne Somalwar; Bruce D. Lee; George J. Pappas; Nikolai Matni (CoRR, 2025)

Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation. - Bruce D. Lee; Thomas T. C. K. Zhang; Hamed Hassani; Nikolai Matni (IEEE Trans. Autom. Control., 2025)