54 citations · 217 across the 12 of their papers we have counts for
7 papers · 1 filter
Safely Learning Dynamical Systems from Short Trajectories
Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani +1
A fundamental challenge in learning to control an unknown dynamical system is to reduce model uncertainty by making measurements while maintaining safety. In this work, we formulat…
A Tutorial on Concentration Bounds for System Identification
Nikolai Matni, Stephen Tu
We provide a brief tutorial on the use of concentration inequalities as they apply to system identification of state-space parameters of linear time invariant systems, with a focus…
From self-tuning regulators to reinforcement learning and back again
Nikolai Matni, Alexandre Proutiere, Anders Rantzer +1
Machine and reinforcement learning (RL) are increasingly being applied to plan and control the behavior of autonomous systems interacting with the physical world. Examples include…
Certainty Equivalence is Efficient for Linear Quadratic Control
Horia Mania, Stephen Tu, Benjamin Recht
We study the performance of the certainty equivalent controller on Linear Quadratic (LQ) control problems with unknown transition dynamics. We show that for both the fully and part…
Minimax Lower Bounds for -Norm Estimation
Stephen Tu, Ross Boczar, Benjamin Recht
The problem of estimating the -norm of an LTI system from noisy input/output measurements has attracted recent attention as an alternative to parameter identifi…
Safely Learning to Control the Constrained Linear Quadratic Regulator
Sarah Dean, Stephen Tu, Nikolai Matni +1
We study the constrained linear quadratic regulator with unknown dynamics, addressing the tension between safety and exploration in data-driven control techniques. We present a fra…