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From self-tuning regulators to reinforcement learning and back again

From self-tuning regulators to reinforcement learning and back again

27 June 2019
Nikolai Matni
Alexandre Proutière
Anders Rantzer
Stephen Tu
ArXivPDFHTML

Papers citing "From self-tuning regulators to reinforcement learning and back again"

27 / 27 papers shown
Title
Stability properties of gradient flow dynamics for the symmetric
  low-rank matrix factorization problem
Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem
Hesameddin Mohammadi
Mohammad Tinati
Stephen Tu
Mahdi Soltanolkotabi
M. Jovanović
78
0
0
24 Nov 2024
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy V. Deshmukh
72
14
0
31 Aug 2024
Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with
  Additive Exploration
Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration
Archith Athrey
Othmane Mazhar
Meichen Guo
B. de Schutter
Shengling Shi
14
1
0
05 Nov 2023
Data-Driven H-infinity Control with a Real-Time and Efficient
  Reinforcement Learning Algorithm: An Application to Autonomous
  Mobility-on-Demand Systems
Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems
Ali Aalipour
Alireza Khani
14
4
0
16 Sep 2023
Suboptimality analysis of receding horizon quadratic control with
  unknown linear systems and its applications in learning-based control
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
Machine Learning for Smart and Energy-Efficient Buildings
Machine Learning for Smart and Energy-Efficient Buildings
Hari Prasanna Das
Yu-Wen Lin
Utkarsha Agwan
Lucas Spangher
Alex Devonport
Yu Yang
Ján Drgoňa
A. Chong
S. Schiavon
C. Spanos
HAI
AI4CE
34
20
0
27 Nov 2022
Towards a Theoretical Foundation of Policy Optimization for Learning
  Control Policies
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Bin Hu
Kaipeng Zhang
Na Li
M. Mesbahi
Maryam Fazel
Tamer Bacsar
87
27
0
10 Oct 2022
Performance-Driven Controller Tuning via Derivative-Free Reinforcement
  Learning
Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning
Yuheng Lei
Jianyu Chen
Sheng Li
Sifa Zheng
17
1
0
11 Sep 2022
Learning to Control Linear Systems can be Hard
Learning to Control Linear Systems can be Hard
Anastasios Tsiamis
Ingvar M. Ziemann
M. Morari
Nikolai Matni
George J. Pappas
16
14
0
27 May 2022
Finite-sample analysis of identification of switched linear systems with
  arbitrary or restricted switching
Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching
Shengli Shi
Othmane Mazhar
B. de Schutter
11
9
0
18 Mar 2022
Control-Tutored Reinforcement Learning: Towards the Integration of
  Data-Driven and Model-Based Control
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control
F. D. Lellis
M. Coraggio
G. Russo
Mirco Musolesi
M. D. Bernardo
13
7
0
11 Dec 2021
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning
Model-Free μμμ Synthesis via Adversarial Reinforcement Learning
Darioush Keivan
Aaron J. Havens
Peter M. Seiler
Geir Dullerud
Bin Hu
19
7
0
30 Nov 2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees
  for Partially Observed Systems
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
Fangda Gu
He Yin
L. Ghaoui
Murat Arcak
Peter M. Seiler
Ming Jin
9
25
0
08 Sep 2021
Online Algorithms and Policies Using Adaptive and Machine Learning
  Approaches
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches
Anuradha M. Annaswamy
A. Guha
Yingnan Cui
Sunbochen Tang
Peter A. Fisher
Joseph E. Gaudio
27
19
0
13 May 2021
A Crash Course on Reinforcement Learning
A Crash Course on Reinforcement Learning
F. Yaghmaie
L. Ljung
14
2
0
08 Mar 2021
Nonstochastic Bandits with Infinitely Many Experts
Nonstochastic Bandits with Infinitely Many Experts
X. Meng
Tuhin Sarkar
M. Dahleh
OffRL
15
1
0
09 Feb 2021
Tutoring Reinforcement Learning via Feedback Control
Tutoring Reinforcement Learning via Feedback Control
F. D. Lellis
G. Russo
M. D. Bernardo
19
6
0
12 Dec 2020
Data-Driven System Level Synthesis
Data-Driven System Level Synthesis
Anton Xue
Nikolai Matni
19
41
0
20 Nov 2020
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
13
9
0
18 Nov 2020
Accurate Parameter Estimation for Risk-aware Autonomous Systems
Accurate Parameter Estimation for Risk-aware Autonomous Systems
Arnab Sarker
Peter A. Fisher
Joseph E. Gaudio
Anuradha M. Annaswamy
16
0
0
23 Jun 2020
Machine learning and control engineering: The model-free case
Machine learning and control engineering: The model-free case
M. Fliess
Cédric Join
13
13
0
10 Jun 2020
Online Learning of the Kalman Filter with Logarithmic Regret
Online Learning of the Kalman Filter with Logarithmic Regret
Anastasios Tsiamis
George Pappas
18
31
0
12 Feb 2020
Optimistic robust linear quadratic dual control
Optimistic robust linear quadratic dual control
Jack Umenberger
Thomas B. Schon
11
7
0
31 Dec 2019
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
Jeongho Kim
Insoon Yang
11
17
0
23 Dec 2019
Policy Optimization for $\mathcal{H}_2$ Linear Control with
  $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global
  Convergence
Policy Optimization for H2\mathcal{H}_2H2​ Linear Control with H∞\mathcal{H}_\inftyH∞​ Robustness Guarantee: Implicit Regularization and Global Convergence
Kaipeng Zhang
Bin Hu
Tamer Basar
24
119
0
21 Oct 2019
A Tutorial on Concentration Bounds for System Identification
A Tutorial on Concentration Bounds for System Identification
Nikolai Matni
Stephen Tu
11
40
0
27 Jun 2019
Robust exploration in linear quadratic reinforcement learning
Robust exploration in linear quadratic reinforcement learning
Jack Umenberger
Mina Ferizbegovic
Thomas B. Schon
H. Hjalmarsson
15
37
0
04 Jun 2019
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