Model-Free Linear Quadratic Control via Reduction to Expert Prediction

Model-Free Linear Quadratic Control via Reduction to Expert Prediction

17 April 2018

Yasin Abbasi-Yadkori

Csaba Szepesvári

Papers citing "Model-Free Linear Quadratic Control via Reduction to Expert Prediction"

15 / 15 papers shown

Title
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off Zichen Zhang Johannes Kirschner Junxi Zhang Francesco Zanini Alex Ayoub Masood Dehghan Dale Schuurmans OffRL 24 3 0 17 Dec 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
Rate-Optimal Online Convex Optimization in Adaptive Linear Control Asaf B. Cassel Alon Cohen Google Research 34 9 0 03 Jun 2022
Learning to Control Linear Systems can be Hard Anastasios Tsiamis Ingvar M. Ziemann M. Morari Nikolai Matni George J. Pappas 24 14 0 27 May 2022
$Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt{T}$ Regret$ Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt{T}$ Regret Asaf B. Cassel Tomer Koren OffRL 36 17 0 25 Feb 2021
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples S. Fattahi 21 14 0 08 Oct 2020
Adaptive Regret for Control of Time-Varying Dynamics Paula Gradu Elad Hazan Edgar Minasyan 39 47 0 08 Jul 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems Sahin Lale Kamyar Azizzadenesheli B. Hassibi Anima Anandkumar 35 92 0 25 Mar 2020
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 25 35 0 10 Feb 2020
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem Hesameddin Mohammadi A. Zare Mahdi Soltanolkotabi M. Jovanović 32 122 0 26 Dec 2019
Alice's Adventures in the Markovian World Zhanzhan Zhao Haoran Sun 22 0 0 21 Jul 2019
Provably Efficient Reinforcement Learning with Linear Function Approximation Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan 50 541 0 11 Jul 2019
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu 27 88 0 27 Jun 2019
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator K. Krauth Stephen Tu Benjamin Recht 21 57 0 30 May 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint Stephen Tu Benjamin Recht OffRL 11 150 0 09 Dec 2018