Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation

13 July 2020

Papers citing "Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation"

7 / 7 papers shown

Title
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 92 0 0 03 Jun 2024
Naive Exploration is Optimal for Online LQR Max Simchowitz Dylan J. Foster 65 183 0 27 Jan 2020
Certainty Equivalence is Efficient for Linear Quadratic Control Horia Mania Stephen Tu Benjamin Recht 38 74 0 21 Feb 2019
$Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret$ Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret Alon Cohen Tomer Koren Yishay Mansour 55 171 0 17 Feb 2019
Finite Time Adaptive Stabilization of LQ Systems Mohamad Kazem Shirani Faradonbeh Ambuj Tewari George Michailidis 33 33 0 22 Jul 2018
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 49 283 0 23 May 2018
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems Yasin Abbasi-Yadkori D. Pál Csaba Szepesvári 84 70 0 14 Feb 2011