Learning to Control Linear Systems can be Hard

Learning to Control Linear Systems can be Hard

27 May 2022

Anastasios Tsiamis

Ingvar M. Ziemann

George J. Pappas

Papers citing "Learning to Control Linear Systems can be Hard"

6 / 6 papers shown

Title
Learning Stabilizing Policies via an Unstable Subspace Representation Leonardo F. Toso Lintao Ye James Anderson 34 0 0 02 May 2025
On the Hardness of Learning to Stabilize Linear Systems Xiong Zeng Zexiang Liu Zhe Du N. Ozay Mario Sznaier 29 3 0 18 Nov 2023
Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control Shengli Shi Anastasios Tsiamis B. de Schutter 23 2 0 19 Jan 2023
Statistical Learning Theory for Control: A Finite Sample Perspective Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 28 73 0 12 Sep 2022
How are policy gradient methods affected by the limits of control? Ingvar M. Ziemann Anastasios Tsiamis H. Sandberg Nikolai Matni 25 14 0 14 Jun 2022
Minimal Expected Regret in Linear Quadratic Control Yassir Jedra Alexandre Proutière OffRL 40 17 0 29 Sep 2021