Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML
Approach for Model-free LQR

Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR

25 January 2024

Leonardo F. Toso

James Anderson

Papers citing "Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR"

9 / 9 papers shown

Title
Learning Stabilizing Policies via an Unstable Subspace Representation Leonardo F. Toso Lintao Ye James Anderson 29 0 0 02 May 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 101 1 0 04 Feb 2025
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 34 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 34 2 0 08 Jul 2024
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models Jiaqi Yan Ankush Chakrabarty Alisa Rupenyan John Lygeros 37 2 0 18 Apr 2024
Decision Transformer as a Foundation Model for Partially Observable Continuous Control Xiangyuan Zhang Weichao Mao Haoran Qiu Tamer Basar OffRL AI4CE 32 5 0 03 Apr 2024
A Moreau Envelope Approach for LQR Meta-Policy Estimation Ashwin Aravind Taha Toghani César A. Uribe 40 1 0 26 Mar 2024
Stabilizing Dynamical Systems via Policy Gradient Methods Juan C. Perdomo Jack Umenberger Max Simchowitz 38 44 0 13 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017