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Task-Optimal Exploration in Linear Dynamical Systems
v1v2 (latest)

Task-Optimal Exploration in Linear Dynamical Systems

10 February 2021
Andrew Wagenmaker
Max Simchowitz
Kevin Jamieson
ArXiv (abs)PDFHTML

Papers citing "Task-Optimal Exploration in Linear Dynamical Systems"

34 / 34 papers shown
Title
Active learning of neural population dynamics using two-photon holographic optogenetics
Active learning of neural population dynamics using two-photon holographic optogenetics
Andrew Wagenmaker
Lu Mi
Marton Rozsa
Matthew S. Bull
Karel Svoboda
Kayvon Daie
Matthew D. Golub
Kevin Jamieson
186
0
0
03 Dec 2024
Navigating to the Best Policy in Markov Decision Processes
Navigating to the Best Policy in Markov Decision Processes
Aymen Al Marjani
Aurélien Garivier
Alexandre Proutiere
70
25
0
05 Jun 2021
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
Ingvar M. Ziemann
H. Sandberg
58
9
0
18 Nov 2020
Fast active learning for pure exploration in reinforcement learning
Fast active learning for pure exploration in reinforcement learning
Pierre Ménard
O. D. Domingues
Anders Jonsson
E. Kaufmann
Edouard Leurent
Michal Valko
51
97
0
27 Jul 2020
Efficient Optimistic Exploration in Linear-Quadratic Regulators via
  Lagrangian Relaxation
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
Marc Abeille
A. Lazaric
57
26
0
13 Jul 2020
Information Theoretic Regret Bounds for Online Nonlinear Control
Information Theoretic Regret Bounds for Online Nonlinear Control
Sham Kakade
A. Krishnamurthy
Kendall Lowrey
Motoya Ohnishi
Wen Sun
67
119
0
22 Jun 2020
Active Learning for Nonlinear System Identification with Guarantees
Active Learning for Nonlinear System Identification with Guarantees
Horia Mania
Michael I. Jordan
Benjamin Recht
83
104
0
18 Jun 2020
Active Learning for Identification of Linear Dynamical Systems
Active Learning for Identification of Linear Dynamical Systems
Andrew Wagenmaker
Kevin Jamieson
99
47
0
02 Feb 2020
Naive Exploration is Optimal for Online LQR
Naive Exploration is Optimal for Online LQR
Max Simchowitz
Dylan J. Foster
75
185
0
27 Jan 2020
Improper Learning for Non-Stochastic Control
Improper Learning for Non-Stochastic Control
Max Simchowitz
Karan Singh
Elad Hazan
67
159
0
25 Jan 2020
Sample Complexity Lower Bounds for Linear System Identification
Sample Complexity Lower Bounds for Linear System Identification
Yassir Jedra
Alexandre Proutiere
48
42
0
25 Mar 2019
Finite Sample Analysis of Stochastic System Identification
Finite Sample Analysis of Stochastic System Identification
Anastasios Tsiamis
George J. Pappas
48
150
0
21 Mar 2019
Online Control with Adversarial Disturbances
Online Control with Adversarial Disturbances
Naman Agarwal
Brian Bullins
Elad Hazan
Sham Kakade
Karan Singh
44
240
0
23 Feb 2019
Certainty Equivalence is Efficient for Linear Quadratic Control
Certainty Equivalence is Efficient for Linear Quadratic Control
Horia Mania
Stephen Tu
Benjamin Recht
41
74
0
21 Feb 2019
Learning Linear Dynamical Systems with Semi-Parametric Least Squares
Learning Linear Dynamical Systems with Semi-Parametric Least Squares
Max Simchowitz
Ross Boczar
Benjamin Recht
48
116
0
02 Feb 2019
Policy Certificates: Towards Accountable Reinforcement Learning
Policy Certificates: Towards Accountable Reinforcement Learning
Christoph Dann
Ashutosh Adhikari
Wei Wei
Jimmy J. Lin
OffRL
123
146
0
07 Nov 2018
Safely Learning to Control the Constrained Linear Quadratic Regulator
Safely Learning to Control the Constrained Linear Quadratic Regulator
Sarah Dean
Stephen Tu
Nikolai Matni
Benjamin Recht
51
139
0
26 Sep 2018
Non-asymptotic Identification of LTI Systems from a Single Trajectory
Non-asymptotic Identification of LTI Systems from a Single Trajectory
Samet Oymak
N. Ozay
62
226
0
14 Jun 2018
Exploration in Structured Reinforcement Learning
Exploration in Structured Reinforcement Learning
Jungseul Ok
Alexandre Proutiere
Damianos Tranos
171
64
0
03 Jun 2018
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
53
285
0
23 May 2018
Learning Without Mixing: Towards A Sharp Analysis of Linear System
  Identification
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
Max Simchowitz
Horia Mania
Stephen Tu
Michael I. Jordan
Benjamin Recht
56
342
0
22 Feb 2018
Spectral Filtering for General Linear Dynamical Systems
Spectral Filtering for General Linear Dynamical Systems
Elad Hazan
Holden Lee
Karan Singh
Cyril Zhang
Yi Zhang
100
102
0
12 Feb 2018
Finite Time Identification in Unstable Linear Systems
Finite Time Identification in Unstable Linear Systems
Mohamad Kazem Shirani Faradonbeh
Ambuj Tewari
George Michailidis
61
147
0
05 Oct 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
73
579
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
72
70
0
15 Jul 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement
  Learning
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann
Tor Lattimore
Emma Brunskill
78
311
0
22 Mar 2017
The Simulator: Understanding Adaptive Sampling in the
  Moderate-Confidence Regime
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime
Max Simchowitz
Kevin Jamieson
Benjamin Recht
133
66
0
16 Feb 2017
Gradient Descent Learns Linear Dynamical Systems
Gradient Descent Learns Linear Dynamical Systems
Moritz Hardt
Tengyu Ma
Benjamin Recht
110
240
0
16 Sep 2016
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
Christoph Dann
Emma Brunskill
74
249
0
29 Oct 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Kamalika Chaudhuri
Sham Kakade
Praneeth Netrapalli
Sujay Sanghavi
52
72
0
08 Jun 2015
On the Complexity of Best Arm Identification in Multi-Armed Bandit
  Models
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
E. Kaufmann
Olivier Cappé
Aurélien Garivier
204
1,028
0
16 Jul 2014
On the Fundamental Limits of Adaptive Sensing
On the Fundamental Limits of Adaptive Sensing
E. Arias-Castro
Emmanuel J. Candes
Mark A. Davenport
163
137
0
20 Nov 2011
A tail inequality for quadratic forms of subgaussian random vectors
A tail inequality for quadratic forms of subgaussian random vectors
Daniel J. Hsu
Sham Kakade
Tong Zhang
139
422
0
13 Oct 2011
Input Design for System Identification via Convex Relaxation
Input Design for System Identification via Convex Relaxation
I. Manchester
75
64
0
28 Sep 2010
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