ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.06716
  4. Cited By
Control-oriented meta-learning

Control-oriented meta-learning

14 April 2022
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
ArXivPDFHTML

Papers citing "Control-oriented meta-learning"

15 / 15 papers shown
Title
Fast Online Adaptive Neural MPC via Meta-Learning
Fast Online Adaptive Neural MPC via Meta-Learning
Yu Mei
Xinyu Zhou
Shuyang Yu
Vaibhav Srivastava
Xiaobo Tan
51
0
0
23 Apr 2025
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
Jacob Levy
Jason Gibson
Bogdan I. Vlahov
Erica Tevere
Evangelos A. Theodorou
David Fridovich-Keil
Patrick Spieler
39
0
0
23 Apr 2025
First, Learn What You Don't Know: Active Information Gathering for
  Driving at the Limits of Handling
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling
Alexander Davydov
Franck Djeumou
Marcus Greiff
Makoto Suminaka
Michael Thompson
John Subosits
Thomas Lew
56
0
0
31 Oct 2024
Feedback Favors the Generalization of Neural ODEs
Feedback Favors the Generalization of Neural ODEs
Jindou Jia
Zihan Yang
Meng Wang
Kexin Guo
Jianfei Yang
Xiang Yu
Lei Guo
OOD
AI4CE
43
2
0
14 Oct 2024
Combining Federated Learning and Control: A Survey
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
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
32
5
0
03 Apr 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
34
9
0
25 Jan 2024
META-SMGO-$Δ$: similarity as a prior in black-box optimization
META-SMGO-ΔΔΔ: similarity as a prior in black-box optimization
Riccardo Busetto
Valentina Breschi
Simone Formentin
24
0
0
30 Apr 2023
Data-Driven Control with Inherent Lyapunov Stability
Data-Driven Control with Inherent Lyapunov Stability
Youngjae Min
Spencer M. Richards
Navid Azizan
29
7
0
06 Mar 2023
Learning Control-Oriented Dynamical Structure from Data
Learning Control-Oriented Dynamical Structure from Data
Spencer M. Richards
Jean-Jacques E. Slotine
Navid Azizan
Marco Pavone
20
6
0
06 Feb 2023
Multi-Task Imitation Learning for Linear Dynamical Systems
Multi-Task Imitation Learning for Linear Dynamical Systems
Thomas T. Zhang
Katie Kang
Bruce D. Lee
Claire Tomlin
Sergey Levine
Stephen Tu
Nikolai Matni
35
23
0
01 Dec 2022
Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot
  Trajectory Planning
Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning
Yuhan Zhao
Quanyan Zhu
13
8
0
23 Nov 2022
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary
  Differential Equations
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations
Achkan Salehi
Steffen Rühl
Stéphane Doncieux
AI4CE
15
2
0
25 Jul 2022
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
344
11,684
0
09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
1