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Convergence of Gradient-based MAML in LQR

Convergence of Gradient-based MAML in LQR

12 September 2023
N. Musavi
Geir E. Dullerud
ArXivPDFHTML

Papers citing "Convergence of Gradient-based MAML in LQR"

5 / 5 papers shown
Title
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Donglin Zhan
Leonardo F. Toso
James Anderson
97
1
0
04 Feb 2025
Decision Transformer as a Foundation Model for Partially Observable
  Continuous Control
Decision Transformer as a Foundation Model for Partially Observable Continuous Control
Xiangyuan Zhang
Weichao Mao
Haoran Qiu
Tamer Basar
OffRL
AI4CE
24
5
0
03 Apr 2024
A Moreau Envelope Approach for LQR Meta-Policy Estimation
A Moreau Envelope Approach for LQR Meta-Policy Estimation
Ashwin Aravind
Taha Toghani
César A. Uribe
37
1
0
26 Mar 2024
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
Leonardo F. Toso
Donglin Zhan
James Anderson
Han Wang
26
9
0
25 Jan 2024
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
317
11,681
0
09 Mar 2017
1