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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
N. Lazić
Csaba Szepesvári
    OffRL
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Papers citing "Model-Free Linear Quadratic Control via Reduction to Expert Prediction"

14 / 14 papers shown
Title
Learning Expected Reward for Switched Linear Control Systems: A
  Non-Asymptotic View
Learning Expected Reward for Switched Linear Control Systems: A Non-Asymptotic View
Muhammad Naeem
Miroslav Pajic
49
1
0
15 Jun 2020
Regularized Off-Policy TD-Learning
Regularized Off-Policy TD-Learning
Bo Liu
Sridhar Mahadevan
Ji Liu
OffRL
42
65
0
06 Jun 2020
Finite-Sample Analysis of Proximal Gradient TD Algorithms
Finite-Sample Analysis of Proximal Gradient TD Algorithms
Bo Liu
Ji Liu
Mohammad Ghavamzadeh
Sridhar Mahadevan
Marek Petrik
50
158
0
06 Jun 2020
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
138
1,927
0
07 Sep 2019
Regret Bounds for Robust Adaptive Control of the Linear Quadratic
  Regulator
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean
Horia Mania
Nikolai Matni
Benjamin Recht
Stephen Tu
46
283
0
23 May 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic
  Regulator
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
Stephen Tu
Benjamin Recht
OffRL
60
131
0
22 Dec 2017
On the Sample Complexity of the Linear Quadratic Regulator
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean
Horia Mania
Nikolai Matni
Benjamin Recht
Stephen Tu
63
575
0
04 Oct 2017
Non-Asymptotic Analysis of Robust Control from Coarse-Grained
  Identification
Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification
Stephen Tu
Ross Boczar
A. Packard
Benjamin Recht
46
70
0
15 Jul 2017
Thompson Sampling for Linear-Quadratic Control Problems
Thompson Sampling for Linear-Quadratic Control Problems
Marc Abeille
A. Lazaric
47
55
0
27 Mar 2017
Deep Exploration via Randomized Value Functions
Deep Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Daniel Russo
Zheng Wen
89
304
0
22 Mar 2017
Fast rates for online learning in Linearly Solvable Markov Decision
  Processes
Fast rates for online learning in Linearly Solvable Markov Decision Processes
Gergely Neu
Vicencc Gómez
31
13
0
21 Feb 2017
Gradient Descent Learns Linear Dynamical Systems
Gradient Descent Learns Linear Dynamical Systems
Moritz Hardt
Tengyu Ma
Benjamin Recht
102
239
0
16 Sep 2016
Efficient Reinforcement Learning for High Dimensional Linear Quadratic
  Systems
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
M. Ibrahimi
Adel Javanmard
Benjamin Van Roy
68
91
0
24 Mar 2013
Linearly Parameterized Bandits
Linearly Parameterized Bandits
Paat Rusmevichientong
J. Tsitsiklis
314
558
0
18 Dec 2008
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