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Black-Box Control for Linear Dynamical Systems

13 July 2020

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

39 / 39 papers shown

Title
Learning Stabilizing Policies via an Unstable Subspace Representation Leonardo F. Toso Lintao Ye James Anderson 102 0 0 02 May 2025
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 105 2 0 12 Jul 2024
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise Ziyi Zhang Yorie Nakahira Guannan Qu 46 2 0 31 May 2024
Predictive Linear Online Tracking for Unknown Targets Anastasios Tsiamis Aren Karapetyan Yueshan Li Efe C. Balta John Lygeros 91 8 0 15 Feb 2024
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms Xiangyuan Zhang Weichao Mao S. Mowlavi M. Benosman Tamer Basar OffRL AI4CE 84 3 0 30 Nov 2023
On the Hardness of Learning to Stabilize Linear Systems Xiong Zeng Zexiang Liu Zhe Du N. Ozay Mario Sznaier 74 3 0 18 Nov 2023
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression Adam Block Dylan J. Foster Akshay Krishnamurthy Max Simchowitz Cyril Zhang 77 7 0 17 Oct 2023
Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances Ting-Jui Chang Shahin Shahrampour 75 0 0 04 Oct 2023
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis Yingying Li Jing Yu Lauren Conger Taylan Kargin Adam Wierman 67 7 0 26 Sep 2023
Data-Driven Adversarial Online Control for Unknown Linear Systems Zishun Liu Yongxin Chen 42 0 0 16 Aug 2023
Optimal Rates for Bandit Nonstochastic Control Y. Jennifer Sun Stephen Newman Elad Hazan 134 7 0 24 May 2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs Miroslav Krstic Luke Bhan Yuanyuan Shi 96 31 0 18 Mar 2023
A Nonstochastic Control Approach to Optimization Xinyi Chen Elad Hazan 131 5 0 19 Jan 2023
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret Gautam Goel Naman Agarwal Karan Singh Elad Hazan OffRL 59 11 0 21 Nov 2022
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations Jiachen Hu Han Zhong Chi Jin Liwei Wang 90 7 0 27 Oct 2022
$Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret$ Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret Lintao Ye Ming Chi Ruiquan Liao V. Gupta 46 1 0 17 Oct 2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies Bin Hu Kai Zhang Na Li M. Mesbahi Maryam Fazel Tamer Bacsar 161 27 0 10 Oct 2022
Actor-Critic based Improper Reinforcement Learning Mohammadi Zaki Avinash Mohan Aditya Gopalan Shie Mannor 79 3 0 19 Jul 2022
$Thompson Sampling Achieves $\tilde O(\sqrt{T})$ Regret in Linear Quadratic Control$ Thompson Sampling Achieves $\tilde O(\sqrt{T})$ Regret in Linear Quadratic Control Taylan Kargin Sahin Lale Kamyar Azizzadenesheli Anima Anandkumar B. Hassibi 59 13 0 17 Jun 2022
Regret Analysis of Certainty Equivalence Policies in Continuous-Time Linear-Quadratic Systems Mohamad Kazem Shirani Faradonbeh 56 0 0 09 Jun 2022
Learning to Control under Time-Varying Environment Yuzhen Han Rubén Solozabal Jing Dong Xingyu Zhou Martin Takáč B. Gu 57 2 0 06 Jun 2022
Rate-Optimal Online Convex Optimization in Adaptive Linear Control Asaf B. Cassel Alon Cohen Google Research 63 9 0 03 Jun 2022
Learning to Control Linear Systems can be Hard Anastasios Tsiamis Ingvar M. Ziemann M. Morari Nikolai Matni George J. Pappas 64 15 0 27 May 2022
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics Asaf B. Cassel Alon Cohen Google Research 74 5 0 02 Mar 2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems Zengyi Qin Dawei Sun Chuchu Fan 87 43 0 06 Jan 2022
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems Mohamad Kazem Shirani Faradonbeh Aditya Modi 88 6 0 01 Jan 2022
Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems Mohamad Kazem Shirani Faradonbeh Mohamad Sadegh Shirani Faradonbeh 38 5 0 30 Dec 2021
Stabilizing Dynamical Systems via Policy Gradient Methods Juan C. Perdomo Jack Umenberger Max Simchowitz 95 45 0 13 Oct 2021
Reinforcement Learning Policies in Continuous-Time Linear Systems Mohamad Kazem Shirani Faradonbeh Mohamad Sadegh Shirani Faradonbeh 36 0 0 16 Sep 2021
Linear Systems can be Hard to Learn Anastasios Tsiamis George J. Pappas 57 42 0 02 Apr 2021
Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems Siavash Alemzadeh S. Talebi M. Mesbahi 23 2 0 22 Mar 2021
Streaming Linear System Identification with Reverse Experience Replay Prateek Jain S. Kowshik Dheeraj M. Nagaraj Praneeth Netrapalli OffRL 93 19 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 $\sqrt{T}$ Regret Asaf B. Cassel Tomer Koren OffRL 99 18 0 25 Feb 2021
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 56 15 0 19 Feb 2021
Improper Reinforcement Learning with Gradient-based Policy Optimization Mohammadi Zaki Avinash Mohan Aditya Gopalan Shie Mannor 23 0 0 16 Feb 2021
Generating Adversarial Disturbances for Controller Verification Udaya Ghai David Snyder Anirudha Majumdar Elad Hazan 74 9 0 12 Dec 2020
Geometric Exploration for Online Control Orestis Plevrakis Elad Hazan 83 11 0 25 Oct 2020
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems Sahin Lale Kamyar Azizzadenesheli B. Hassibi Anima Anandkumar 65 34 0 23 Jul 2020
Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon Matteo Basei Xin Guo Anran Hu Yufei Zhang 88 42 0 27 Jun 2020