Active Learning for Nonlinear System Identification with Guarantees

18 June 2020

Benjamin Recht

Papers citing "Active Learning for Nonlinear System Identification with Guarantees"

23 / 23 papers shown

Title
Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data Lei Xin B. She Qi Dou George Chiu S. Sundaram 56 0 0 08 May 2025
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model Sasan Vakili Manuel Mazo Jr. Peyman Mohajerin Esfahani 25 0 0 07 Apr 2025
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker Lu Mi Marton Rozsa Matthew S. Bull Karel Svoboda Kayvon Daie Matthew D. Golub Kevin Jamieson 74 0 0 03 Dec 2024
Learning Linear Dynamics from Bilinear Observations Yahya Sattar Yassir Jedra Sarah Dean 26 1 0 24 Sep 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 30 0 0 03 Jun 2024
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method Charis J. Stamouli Ingvar M. Ziemann George J. Pappas 23 0 0 11 Apr 2024
Optimal Exploration for Model-Based RL in Nonlinear Systems Andrew Wagenmaker Guanya Shi Kevin G. Jamieson 31 14 0 15 Jun 2023
Autoregressive Bandits Francesco Bacchiocchi Gianmarco Genalti Davide Maran Marco Mussi Marcello Restelli N. Gatti Alberto Maria Metelli 23 5 0 12 Dec 2022
Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity Imon Banerjee Harsha Honnappa Vinayak A. Rao OffRL 11 0 0 14 Nov 2022
Statistical Learning Theory for Control: A Finite Sample Perspective Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 23 73 0 12 Sep 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 40 9 0 29 Jul 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity Alekh Agarwal Tong Zhang 44 22 0 15 Jun 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions Ryan Lopez P. Atzberger AI4CE 24 7 0 10 Jun 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 26 132 0 23 Feb 2022
Learning Mixtures of Linear Dynamical Systems Yanxi Chen H. Vincent Poor 20 17 0 26 Jan 2022
Representation Learning for Online and Offline RL in Low-rank MDPs Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 50 126 0 09 Oct 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi Isao Ishikawa Kendall Lowrey Masahiro Ikeda Sham Kakade Yoshinobu Kawahara 21 5 0 30 Jun 2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning Luofeng Liao Zuyue Fu Zhuoran Yang Yixin Wang Mladen Kolar Zhaoran Wang OffRL 18 34 0 19 Feb 2021
Regret Bounds for Adaptive Nonlinear Control Nicholas M. Boffi Stephen Tu Jean-Jacques E. Slotine 41 47 0 26 Nov 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 31 117 0 22 Jun 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 112 194 0 07 Feb 2020
Sample Complexity of Kalman Filtering for Unknown Systems Anastasios Tsiamis Nikolai Matni George J. Pappas 27 53 0 27 Dec 2019
Spectral Filtering for General Linear Dynamical Systems Elad Hazan Holden Lee Karan Singh Cyril Zhang Yi Zhang 45 97 0 12 Feb 2018