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Uniform Error Bounds for Gaussian Process Regression with Application to
  Safe Control
v1v2 (latest)

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control

4 June 2019
Armin Lederer
Jonas Umlauft
Sandra Hirche
ArXiv (abs)PDFHTML

Papers citing "Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control"

11 / 61 papers shown
Title
Learning-based attacks in Cyber-Physical Systems: Exploration,
  Detection, and Control Cost trade-offs
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs
A. Rangi
M. J. Khojasteh
M. Franceschetti
AAML
100
9
0
21 Nov 2020
The Impact of Data on the Stability of Learning-Based Control- Extended
  Version
The Impact of Data on the Stability of Learning-Based Control- Extended Version
Armin Lederer
A. Capone
Thomas Beckers
Jonas Umlauft
Sandra Hirche
76
10
0
20 Nov 2020
Contraction $\mathcal{L}_1$-Adaptive Control using Gaussian Processes
Contraction L1\mathcal{L}_1L1​-Adaptive Control using Gaussian Processes
Aditya Gahlawat
Arun Lakshmanan
Lin Song
Andrew Patterson
Zhuohuan Wu
N. Hovakimyan
Evangelos Theodorou
AI4CE
46
1
0
08 Sep 2020
Deterministic error bounds for kernel-based learning techniques under
  bounded noise
Deterministic error bounds for kernel-based learning techniques under bounded noise
E. Maddalena
Paul Scharnhorst
Colin N. Jones
61
46
0
10 Aug 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy
  Search and Planning
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
Sebastian Curi
Felix Berkenkamp
Andreas Krause
130
85
0
15 Jun 2020
GP3: A Sampling-based Analysis Framework for Gaussian Processes
GP3: A Sampling-based Analysis Framework for Gaussian Processes
Armin Lederer
M. Kessler
Sandra Hirche
GP
36
2
0
14 Jun 2020
How Training Data Impacts Performance in Learning-based Control
How Training Data Impacts Performance in Learning-based Control
Armin Lederer
A. Capone
Jonas Umlauft
Sandra Hirche
62
18
0
25 May 2020
Enhancing Lattice-based Motion Planning with Introspective Learning and
  Reasoning
Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning
Mattias Tiger
David Bergstrom
Andreas Norrstig
Fredrik Heintz
LRM
17
9
0
15 May 2020
Safe Multi-Agent Interaction through Robust Control Barrier Functions
  with Learned Uncertainties
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties
Richard Cheng
M. J. Khojasteh
Aaron D. Ames
J. W. Burdick
80
88
0
11 Apr 2020
Convergence Guarantees for Gaussian Process Means With Misspecified
  Likelihoods and Smoothness
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
George Wynne
F. Briol
Mark Girolami
82
56
0
29 Jan 2020
Dynamic Subgoal-based Exploration via Bayesian Optimization
Dynamic Subgoal-based Exploration via Bayesian Optimization
Yijia Wang
Matthias Poloczek
Daniel R. Jiang
76
3
0
21 Oct 2019
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