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2005.02191
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Localized active learning of Gaussian process state space models
Conference on Learning for Dynamics & Control (L4DC), 2020
4 May 2020
A. Capone
Jonas Umlauft
Thomas Beckers
Armin Lederer
Sandra Hirche
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Papers citing
"Localized active learning of Gaussian process state space models"
11 / 11 papers shown
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
IEEE International Conference on Robotics and Automation (ICRA), 2024
A. LaGrassa
Moonyoung Lee
Oliver Kroemer
335
6
0
08 Jan 2024
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors
IEEE Transactions on Automatic Control (TAC), 2023
Armin Lederer
Jonas Umlauft
Sandra Hirche
233
1
0
10 Jul 2023
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes
Weizhe (Wesley) Chen
Roni Khardon
Lantao Liu
418
16
0
02 Jun 2023
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
IEEE Transactions on robotics (TRO), 2022
Alessandro Saviolo
Jonathan Frey
Abhishek Rathod
Moritz Diehl
Giuseppe Loianno
474
45
0
23 Oct 2022
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
IEEE Conference on Decision and Control (CDC), 2022
L. D. Natale
Yingzhao Lian
E. Maddalena
Jicheng Shi
Colin N. Jones
215
23
0
31 May 2022
AK: Attentive Kernel for Information Gathering
Weizhe (Wesley) Chen
Roni Khardon
Lantao Liu
365
18
0
13 May 2022
Active Learning in Gaussian Process State Space Model
H. Yu
Dingling Yao
Christoph Zimmer
Marc Toussaint
D. Nguyen-Tuong
GP
202
6
0
30 Jul 2021
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
Dawei Sun
M. J. Khojasteh
S. Shekhar
Chuchu Fan
217
3
0
13 May 2021
Distributed Bayesian Online Learning for Cooperative Manipulation
IEEE Conference on Decision and Control (CDC), 2021
P. B. G. Dohmann
Armin Lederer
Marcel Dissemond
Sandra Hirche
OffRL
158
6
0
09 Apr 2021
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots
IEEE International Conference on Robotics and Automation (ICRA), 2021
Weixuan Zhang
M. Tognon
Lionel Ott
Roland Siegwart
Juan I. Nieto
203
8
0
20 Jan 2021
The Impact of Data on the Stability of Learning-Based Control- Extended Version
Conference on Learning for Dynamics & Control (L4DC), 2020
Armin Lederer
A. Capone
Thomas Beckers
Jonas Umlauft
Sandra Hirche
229
11
0
20 Nov 2020
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