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Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model
  Predictive Control

Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control

23 October 2022
Alessandro Saviolo
Jonathan Frey
Abhishek Rathod
Moritz Diehl
Giuseppe Loianno
ArXivPDFHTML

Papers citing "Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control"

6 / 6 papers shown
Title
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret
Hongyu Zhou
Vasileios Tzoumas
47
4
0
04 Jul 2024
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
49
112
0
13 May 2022
Data-Driven MPC for Quadrotors
Data-Driven MPC for Quadrotors
G. Torrente
Elia Kaufmann
Philip Föhn
Davide Scaramuzza
42
161
0
10 Feb 2021
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image
  Classification
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
Matias Valdenegro-Toro
UQCV
38
46
0
17 Oct 2019
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
220
9,525
0
09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
232
8,157
0
06 Jun 2015
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