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Reinforcement Learning with Fast Stabilization in Linear Dynamical
  Systems
v1v2 (latest)

Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
23 July 2020
Sahin Lale
Kamyar Azizzadenesheli
B. Hassibi
Anima Anandkumar
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems"

13 / 13 papers shown
The Confusing Instance Principle for Online Linear Quadratic Control
The Confusing Instance Principle for Online Linear Quadratic Control
Waris Radji
Odalric-Ambrym Maillard
OffRL
180
1
0
22 Oct 2025
Neural Operator based Reinforcement Learning for Control of first-order PDEs with Spatially-Varying State Delay
Neural Operator based Reinforcement Learning for Control of first-order PDEs with Spatially-Varying State DelayIFAC-PapersOnLine (IFAC-PapersOnLine), 2025
Jiaqi Hu
Jie Qi
Jing Zhang
208
1
0
30 Jan 2025
Controlgym: Large-Scale Control Environments for Benchmarking
  Reinforcement Learning Algorithms
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning AlgorithmsConference on Learning for Dynamics & Control (L4DC), 2023
Xiangyuan Zhang
Weichao Mao
S. Mowlavi
M. Benosman
Tamer Basar
OffRLAI4CE
362
4
0
30 Nov 2023
On the Hardness of Learning to Stabilize Linear Systems
On the Hardness of Learning to Stabilize Linear Systems
Xiong Zeng
Zexiang Liu
Zhe Du
N. Ozay
Mario Sznaier
249
4
0
18 Nov 2023
Finite Time Regret Bounds for Minimum Variance Control of Autoregressive
  Systems with Exogenous Inputs
Finite Time Regret Bounds for Minimum Variance Control of Autoregressive Systems with Exogenous Inputs
Rahul Singh
Akshay Mete
Avik Kar
P. R. Kumar
197
1
0
26 May 2023
Neural Operators of Backstepping Controller and Observer Gain Functions
  for Reaction-Diffusion PDEs
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
Miroslav Krstic
Luke Bhan
Yuanyuan Shi
319
48
0
18 Mar 2023
Provable Sim-to-real Transfer in Continuous Domain with Partial
  Observations
Provable Sim-to-real Transfer in Continuous Domain with Partial ObservationsInternational Conference on Learning Representations (ICLR), 2022
Jiachen Hu
Han Zhong
Chi Jin
Liwei Wang
371
10
0
27 Oct 2022
Learning-Based Adaptive Control for Stochastic Linear Systems with Input
  Constraints
Learning-Based Adaptive Control for Stochastic Linear Systems with Input ConstraintsIEEE Control Systems Letters (L-CSS), 2022
Seth Siriya
Jing Zhu
D. Nešić
Ye Pu
289
2
0
15 Sep 2022
Thompson Sampling Achieves $\tilde O(\sqrt{T})$ Regret in Linear
  Quadratic Control
Thompson Sampling Achieves O~(T)\tilde O(\sqrt{T})O~(T​) Regret in Linear Quadratic ControlAnnual Conference Computational Learning Theory (COLT), 2022
Taylan Kargin
Sahin Lale
Kamyar Azizzadenesheli
Anima Anandkumar
B. Hassibi
169
16
0
17 Jun 2022
Optimal Competitive-Ratio Control
Optimal Competitive-Ratio Control
Oron Sabag
Sahin Lale
B. Hassibi
277
12
0
03 Jun 2022
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed
  Stability in Nonlinear Dynamical Systems
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems
Sahin Lale
Yuanyuan Shi
Guannan Qu
Kamyar Azizzadenesheli
Adam Wierman
Anima Anandkumar
185
10
0
03 Jun 2022
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic
  Systems
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic SystemsNeural Information Processing Systems (NeurIPS), 2022
Akshay Mete
Rahul Singh
P. R. Kumar
168
10
0
25 Jan 2022
Online Algorithms and Policies Using Adaptive and Machine Learning
  Approaches
Online Algorithms and Policies Using Adaptive and Machine Learning ApproachesIEEE Transactions on Automatic Control (IEEE TAC), 2021
Anuradha M. Annaswamy
A. Guha
Yingnan Cui
Sunbochen Tang
Peter A. Fisher
Joseph E. Gaudio
401
39
0
13 May 2021
1
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