Learning nonlinear dynamical systems from a single trajectory

Conference on Learning for Dynamics & Control (L4DC), 2020

30 April 2020

Papers citing "Learning nonlinear dynamical systems from a single trajectory"

31 / 31 papers shown

Title
High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems Nicolas Chatzikiriakos Kevin Jamieson Andrea Iannelli 25 0 0 15 Sep 2025
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise Vinay Kanakeri Aritra Mitra 99 0 0 25 Apr 2025
Subgradient Method for System Identification with Non-Smooth Objectives Baturalp Yalcin Jihun Kim Javad Lavaei 96 1 0 20 Mar 2025
Long-Context Linear System IdentificationInternational Conference on Learning Representations (ICLR), 2024 Oğuz Kaan Yüksel Mathieu Even Nicolas Flammarion 173 1 0 08 Oct 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 302 5 0 03 Jun 2024
The Complexity of Sequential Prediction in Dynamical Systems Vinod Raman Unique Subedi Ambuj Tewari 146 1 0 09 Feb 2024
Learning Linearized Models from Nonlinear Systems with Finite DataIEEE Conference on Decision and Control (CDC), 2023 Lei Xin George Chiu Shreyas Sundaram 104 3 0 15 Sep 2023
Optimal Exploration for Model-Based RL in Nonlinear SystemsNeural Information Processing Systems (NeurIPS), 2023 Andrew Wagenmaker Guanya Shi Kevin Jamieson 160 18 0 15 Jun 2023
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce DataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS AI4CE 86 5 0 13 Mar 2023
Online Nonstochastic Control with Adversarial and Static ConstraintsInternational Conference on Machine Learning (ICML), 2023 Xin Liu Zixi Yang Lei Ying 112 5 0 05 Feb 2023
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic ApproachConference on Learning for Dynamics & Control (L4DC), 2022 Muhammad Naeem Miroslav Pajic 184 1 0 07 Dec 2022
Learning Nonlinear Couplings in Network of Agents from a Single Sample TrajectoryIEEE Transactions on Control of Network Systems (IEEE TCNS), 2022 Arash A. Amini Qiyu Sun N. Motee 97 0 0 20 Nov 2022
Statistical Learning Theory for Control: A Finite Sample PerspectiveIEEE Control Systems (IEEE Control Syst. Mag.), 2022 Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 357 83 0 12 Sep 2022
Finite Sample Identification of Bilinear Dynamical SystemsIEEE Conference on Decision and Control (CDC), 2022 Yahya Sattar Samet Oymak N. Ozay 88 18 0 29 Aug 2022
Distributed Online System Identification for LTI Systems Using Reverse Experience ReplayIEEE Conference on Decision and Control (CDC), 2022 Ting-Jui Chang Shahin Shahrampour OffRL 193 4 0 03 Jul 2022
Learning with little mixingNeural Information Processing Systems (NeurIPS), 2022 Ingvar M. Ziemann Stephen Tu 169 31 0 16 Jun 2022
System Identification via Nuclear Norm Regularization Yue Sun Samet Oymak Maryam Fazel 84 0 0 30 Mar 2022
Online Weak-form Sparse Identification of Partial Differential EquationsMathematical and Scientific Machine Learning (MSML), 2022 Daniel Messenger E. Dall’Anese David M. Bortz 138 14 0 08 Mar 2022
Single Trajectory Nonparametric Learning of Nonlinear DynamicsAnnual Conference Computational Learning Theory (COLT), 2022 Ingvar M. Ziemann H. Sandberg Nikolai Matni 138 28 0 16 Feb 2022
Learning Mixtures of Linear Dynamical SystemsInternational Conference on Machine Learning (ICML), 2022 Yanxi Chen H. Vincent Poor 207 20 0 26 Jan 2022
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees Yingying Li Subhro Das J. Shamma Na Li 94 24 0 31 Oct 2021
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical SystemsNeural Information Processing Systems (NeurIPS), 2021 Prateek Jain S. Kowshik Dheeraj M. Nagaraj Praneeth Netrapalli OffRL 185 24 0 24 May 2021
Streaming Linear System Identification with Reverse Experience ReplayNeural Information Processing Systems (NeurIPS), 2021 Prateek Jain S. Kowshik Dheeraj M. Nagaraj Praneeth Netrapalli OffRL 198 21 0 10 Mar 2021
Majorizing Measures, Sequential Complexities, and Online LearningAnnual Conference Computational Learning Theory (COLT), 2021 Adam Block Y. Dagan Alexander Rakhlin 105 15 0 02 Feb 2021
Exact Asymptotics for Linear Quadratic Adaptive ControlJournal of machine learning research (JMLR), 2020 Feicheng Wang Lucas Janson 74 13 0 02 Nov 2020
Learning the Linear Quadratic Regulator from Nonlinear Observations Zakaria Mhammedi Dylan J. Foster Max Simchowitz Dipendra Kumar Misra Wen Sun A. Krishnamurthy Alexander Rakhlin John Langford 155 31 0 08 Oct 2020
Learning Dynamical Systems with Side Information Amir Ali Ahmadi Bachir El Khadir 125 49 0 23 Aug 2020
Accurate Parameter Estimation for Risk-aware Autonomous Systems Arnab Sarker Peter A. Fisher Joseph E. Gaudio Anuradha M. Annaswamy 118 0 0 23 Jun 2020
Active Learning for Nonlinear System Identification with Guarantees Horia Mania Sai Li Benjamin Recht 154 115 0 18 Jun 2020
The role of optimization geometry in single neuron learning Nicholas M. Boffi Stephen Tu Jean-Jacques E. Slotine 96 1 0 15 Jun 2020
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and PredictionNeural Computation (Neural Comput.), 2019 Nicholas M. Boffi Jean-Jacques E. Slotine 157 43 0 31 Dec 2019