5 citations · 6 across the 5 of their papers we have counts for
6 papers · 1 filter
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification
Bruce D. Lee, Anders Rantzer, Nikolai Matni
The strategy of pre-training a large model on a diverse dataset, then fine-tuning for a particular application has yielded impressive results in computer vision, natural language p…
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani +1
While methods can introduce robustness against worst-case perturbations, their nominal performance under conventional stochastic disturbances is often drastica…
The Fundamental Limitations of Learning Linear-Quadratic Regulators
Bruce D. Lee, Ingvar Ziemann, Anastasios Tsiamis +2
We present a local minimax lower bound on the excess cost of designing a linear-quadratic controller from offline data. The bound is valid for any offline exploration policy that c…
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani +1
While methods can introduce robustness against worst-case perturbations, their nominal performance under conventional stochastic disturbances is often drastica…
Finite Step Performance of First-order Methods Using Interpolation Conditions Without Function Evaluations
Bruce Lee, Peter Seiler
We present a procedure to numerically compute finite step worst case performance guarantees on a given algorithm for the unconstrained optimization of strongly convex functions wit…
Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction
Bruce Lee, Andrew Lamperski
One of the primary challenges of system identification is determining how much data is necessary to adequately fit a model. Non-asymptotic characterizations of the performance of s…