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Meta Learning MPC using Finite-Dimensional Gaussian Process
  Approximations

Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations

13 August 2020
Elena Arcari
Andrea Carron
Melanie Zeilinger
ArXivPDFHTML

Papers citing "Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations"

4 / 4 papers shown
Title
On-Line Learning for Planning and Control of Underactuated Robots with Uncertain Dynamics
On-Line Learning for Planning and Control of Underactuated Robots with Uncertain Dynamics
Giulio Turrisi
Marco Capotondi
C. Gaz
Valerio Modugno
Giuseppe Oriolo
Alessandro De Luca
43
8
0
30 Jan 2025
Meta-Learning of Neural State-Space Models Using Data From Similar
  Systems
Meta-Learning of Neural State-Space Models Using Data From Similar Systems
Ankush Chakrabarty
Gordon Wichern
C. Laughman
47
12
0
14 Nov 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A
  Bayesian Meta-Learning Approach
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach
Ankush Chakrabarty
26
9
0
31 Oct 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
499
11,727
0
09 Mar 2017
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