ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.06650
  4. Cited By
Black-Box Control for Linear Dynamical Systems
v1v2v3 (latest)

Black-Box Control for Linear Dynamical Systems

Annual Conference Computational Learning Theory (COLT), 2020
13 July 2020
Xinyi Chen
Elad Hazan
ArXiv (abs)PDFHTML

Papers citing "Black-Box Control for Linear Dynamical Systems"

40 / 40 papers shown
Universal Learning of Nonlinear Dynamics
Universal Learning of Nonlinear Dynamics
Evan Dogariu
Anand Brahmbhatt
Elad Hazan
162
2
0
16 Aug 2025
Learning Stabilizing Policies via an Unstable Subspace Representation
Learning Stabilizing Policies via an Unstable Subspace Representation
Leonardo F. Toso
Lintao Ye
James Anderson
439
4
0
02 May 2025
Combining Federated Learning and Control: A Survey
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedMLAI4CE
381
10
0
12 Jul 2024
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under
  Stochastic Noise
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
Ziyi Zhang
Yorie Nakahira
Guannan Qu
311
2
0
31 May 2024
Predictive Linear Online Tracking for Unknown Targets
Predictive Linear Online Tracking for Unknown Targets
Anastasios Tsiamis
Aren Karapetyan
Yueshan Li
Efe C. Balta
John Lygeros
552
12
0
15 Feb 2024
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
365
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
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning
  and Autoregression
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and AutoregressionInternational Conference on Learning Representations (ICLR), 2023
Adam Block
Dylan J. Foster
Akshay Krishnamurthy
Max Simchowitz
Cyril Zhang
323
12
0
17 Oct 2023
Regret Analysis of Distributed Online Control for LTI Systems with
  Adversarial Disturbances
Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances
Ting-Jui Chang
Shahin Shahrampour
285
1
0
04 Oct 2023
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A
  Non-Asymptotic Analysis
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic AnalysisInternational Conference on Machine Learning (ICML), 2023
Yingying Li
Jing Yu
Lauren Conger
Taylan Kargin
Adam Wierman
287
13
0
26 Sep 2023
Data-Driven Adversarial Online Control for Unknown Linear Systems
Data-Driven Adversarial Online Control for Unknown Linear Systems
Zishun Liu
Yongxin Chen
232
0
0
16 Aug 2023
Optimal Rates for Bandit Nonstochastic Control
Optimal Rates for Bandit Nonstochastic ControlNeural Information Processing Systems (NeurIPS), 2023
Y. Jennifer Sun
Stephen Newman
Elad Hazan
451
7
0
24 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
A Nonstochastic Control Approach to Optimization
A Nonstochastic Control Approach to Optimization
Xinyi Chen
Elad Hazan
505
5
0
19 Jan 2023
Best of Both Worlds in Online Control: Competitive Ratio and Policy
  Regret
Best of Both Worlds in Online Control: Competitive Ratio and Policy RegretConference on Learning for Dynamics & Control (L4DC), 2022
Gautam Goel
Naman Agarwal
Karan Singh
Elad Hazan
OffRL
258
14
0
21 Nov 2022
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 Decentralized Linear Quadratic Regulators with $\sqrt{T}$
  Regret
Learning Decentralized Linear Quadratic Regulators with T\sqrt{T}T​ RegretSIAM Journal of Control and Optimization (SICON), 2022
Lintao Ye
Ming Chi
Ruiquan Liao
V. Gupta
401
3
0
17 Oct 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
Jianchao Tan
Na Li
M. Mesbahi
Maryam Fazel
Tamer Bacsar
339
29
0
10 Oct 2022
Actor-Critic based Improper Reinforcement Learning
Actor-Critic based Improper Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Mohammadi Zaki
Avinash Mohan
Aditya Gopalan
Shie Mannor
257
4
0
19 Jul 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
Regret Analysis of Certainty Equivalence Policies in Continuous-Time
  Linear-Quadratic Systems
Regret Analysis of Certainty Equivalence Policies in Continuous-Time Linear-Quadratic SystemsInternational Conference on System Theory, Control and Computing (ICSTCC), 2022
Mohamad Kazem Shirani Faradonbeh
163
1
0
09 Jun 2022
Learning to Control under Time-Varying Environment
Learning to Control under Time-Varying Environment
Yuzhen Han
Rubén Solozabal
Jing Dong
Xingyu Zhou
Martin Takáč
B. Gu
170
3
0
06 Jun 2022
Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Rate-Optimal Online Convex Optimization in Adaptive Linear ControlNeural Information Processing Systems (NeurIPS), 2022
Asaf B. Cassel
Alon Cohen
Google Research
219
9
0
03 Jun 2022
Learning to Control Linear Systems can be Hard
Learning to Control Linear Systems can be HardAnnual Conference Computational Learning Theory (COLT), 2022
Anastasios Tsiamis
Ingvar M. Ziemann
M. Morari
Nikolai Matni
George J. Pappas
383
18
0
27 May 2022
Efficient Online Linear Control with Stochastic Convex Costs and Unknown
  Dynamics
Efficient Online Linear Control with Stochastic Convex Costs and Unknown DynamicsAnnual Conference Computational Learning Theory (COLT), 2022
Asaf B. Cassel
Alon Cohen
Google Research
287
6
0
02 Mar 2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems
SABLAS: Learning Safe Control for Black-box Dynamical SystemsIEEE Robotics and Automation Letters (RA-L), 2022
Zengyi Qin
Dawei Sun
Chuchu Fan
315
53
0
06 Jan 2022
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems
Joint Learning-Based Stabilization of Multiple Unknown Linear SystemsIFAC-PapersOnLine (IFAC-PapersOnLine), 2022
Mohamad Kazem Shirani Faradonbeh
Aditya Modi
224
7
0
01 Jan 2022
Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems
Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time SystemsIFAC-PapersOnLine (IFAC-PapersOnLine), 2021
Mohamad Kazem Shirani Faradonbeh
Mohamad Sadegh Shirani Faradonbeh
139
7
0
30 Dec 2021
Stabilizing Dynamical Systems via Policy Gradient Methods
Stabilizing Dynamical Systems via Policy Gradient Methods
Juan C. Perdomo
Jack Umenberger
Max Simchowitz
242
51
0
13 Oct 2021
Reinforcement Learning Policies in Continuous-Time Linear Systems
Reinforcement Learning Policies in Continuous-Time Linear Systems
Mohamad Kazem Shirani Faradonbeh
Mohamad Sadegh Shirani Faradonbeh
222
0
0
16 Sep 2021
Linear Systems can be Hard to Learn
Linear Systems can be Hard to LearnIEEE Conference on Decision and Control (CDC), 2021
Anastasios Tsiamis
George J. Pappas
217
48
0
02 Apr 2021
Data-Driven Structured Policy Iteration for Homogeneous Distributed
  Systems
Data-Driven Structured Policy Iteration for Homogeneous Distributed SystemsIEEE Transactions on Automatic Control (IEEE TAC), 2021
Siavash Alemzadeh
S. Talebi
M. Mesbahi
167
3
0
22 Mar 2021
Streaming Linear System Identification with Reverse Experience Replay
Streaming Linear System Identification with Reverse Experience ReplayNeural Information Processing Systems (NeurIPS), 2021
Prateek Jain
S. Kowshik
Dheeraj M. Nagaraj
Praneeth Netrapalli
OffRL
414
24
0
10 Mar 2021
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 T\sqrt{T}T​ RegretInternational Conference on Machine Learning (ICML), 2021
Asaf B. Cassel
Tomer Koren
OffRL
262
20
0
25 Feb 2021
Deluca -- A Differentiable Control Library: Environments, Methods, and
  Benchmarking
Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking
Paula Gradu
John Hallman
Daniel Suo
Alex Yu
Naman Agarwal
Udaya Ghai
Karan Singh
Cyril Zhang
Anirudha Majumdar
Elad Hazan
206
15
0
19 Feb 2021
Improper Reinforcement Learning with Gradient-based Policy Optimization
Improper Reinforcement Learning with Gradient-based Policy Optimization
Mohammadi Zaki
Avinash Mohan
Aditya Gopalan
Shie Mannor
257
0
0
16 Feb 2021
Generating Adversarial Disturbances for Controller Verification
Generating Adversarial Disturbances for Controller VerificationConference on Learning for Dynamics & Control (L4DC), 2020
Udaya Ghai
David Snyder
Anirudha Majumdar
Elad Hazan
400
10
0
12 Dec 2020
Geometric Exploration for Online Control
Geometric Exploration for Online ControlNeural Information Processing Systems (NeurIPS), 2020
Orestis Plevrakis
Elad Hazan
329
11
0
25 Oct 2020
Reinforcement Learning with Fast Stabilization in Linear Dynamical
  Systems
Reinforcement Learning with Fast Stabilization in Linear Dynamical SystemsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Sahin Lale
Kamyar Azizzadenesheli
B. Hassibi
Anima Anandkumar
288
42
0
23 Jul 2020
Logarithmic regret for episodic continuous-time linear-quadratic
  reinforcement learning over a finite-time horizon
Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon
Matteo Basei
Xin Guo
Anran Hu
Yufei Zhang
364
51
0
27 Jun 2020
1
Page 1 of 1