Multi-Task Imitation Learning for Linear Dynamical Systems

1 December 2022

Stephen Tu

Papers citing "Multi-Task Imitation Learning for Linear Dynamical Systems"

22 / 22 papers shown

Title
A State Alignment-Centric Approach to Federated System Identification: The FedAlign Framework Ertuğrul Keçeci Müjde Güzelkaya Tufan Kumbasar FedML Presented at ResearchTrend Connect \| FedML on 23 Apr 2025 105 0 0 15 Mar 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 83 1 0 04 Feb 2025
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems Maryann Rui M. Dahleh 72 0 0 13 Dec 2024
Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem Hesameddin Mohammadi Mohammad Tinati Stephen Tu Mahdi Soltanolkotabi M. Jovanović 65 0 0 24 Nov 2024
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples Thomas T. Zhang Bruce D. Lee Ingvar M. Ziemann George J. Pappas Nikolai Matni CML OOD 23 0 0 15 Oct 2024
Computational Teaching for Driving via Multi-Task Imitation Learning Deepak Gopinath Xiongyi Cui Jonathan A. DeCastro Emily S. Sumner Jean Costa ... Sheryl Chau John Leonard Tiffany Chen Guy Rosman Avinash Balachandran 28 0 0 02 Oct 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 24 2 0 12 Jul 2024
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control Bruce D. Lee Leonardo F. Toso Thomas T. Zhang James Anderson Nikolai Matni 19 2 0 08 Jul 2024
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning Po-Shao Lin Jia-Fong Yeh Yi-Ting Chen Winston H. Hsu 21 0 0 02 Jun 2024
DIDA: Denoised Imitation Learning based on Domain Adaptation Kaichen Huang Hai-Hang Sun Shenghua Wan Minghao Shao Shuai Feng Le Gan De-Chuan Zhan 14 1 0 04 Apr 2024
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR Leonardo F. Toso Donglin Zhan James Anderson Han Wang 13 5 0 25 Jan 2024
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification Bruce D. Lee Anders Rantzer Nikolai Matni 6 2 0 29 Dec 2023
Joint Problems in Learning Multiple Dynamical Systems Mengjia Niu Xiaoyu He Petr Rysavý Quan-Gen Zhou Jakub Marecek 14 3 0 03 Nov 2023
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning Bryan Chan Karime Pereida James Bergstra 27 1 0 02 Nov 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 26 3 0 02 Oct 2023
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data Thomas T. Zhang Leonardo F. Toso James Anderson Nikolai Matni 59 13 0 08 Aug 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 12 20 0 26 May 2023
Learning Personalized Models with Clustered System Identification Leonardo F. Toso Hang Wang James Anderson 11 9 0 03 Apr 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning Yingcong Li M. E. Ildiz Dimitris Papailiopoulos Samet Oymak 4 151 0 17 Jan 2023
Provable General Function Class Representation Learning in Multitask Bandits and MDPs Rui Lu Andrew Zhao S. Du Gao Huang OffRL 27 10 0 31 May 2022
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 30 34 0 25 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017