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Bayesian Optimization with Safety Constraints: Safe and Automatic
  Parameter Tuning in Robotics

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

14 February 2016
Felix Berkenkamp
Andreas Krause
Angela P. Schoellig
ArXivPDFHTML

Papers citing "Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics"

14 / 64 papers shown
Title
Provably Correct Training of Neural Network Controllers Using
  Reachability Analysis
Provably Correct Training of Neural Network Controllers Using Reachability Analysis
Xiaowu Sun
Yasser Shoukry
22
7
0
22 Feb 2021
A unified framework for closed-form nonparametric regression,
  classification, preference and mixed problems with Skew Gaussian Processes
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes
A. Benavoli
Dario Azzimonti
Dario Piga
32
15
0
12 Dec 2020
On Information Gain and Regret Bounds in Gaussian Process Bandits
On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili
Kia Khezeli
Victor Picheny
GP
27
128
0
15 Sep 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis
SafePILCO: a software tool for safe and data-efficient policy synthesis
Kyriakos Polymenakos
Nikitas Rontsis
Alessandro Abate
Stephen J. Roberts
29
6
0
07 Aug 2020
Preference-based Reinforcement Learning with Finite-Time Guarantees
Preference-based Reinforcement Learning with Finite-Time Guarantees
Yichong Xu
Ruosong Wang
Lin F. Yang
Aarti Singh
A. Dubrawski
36
53
0
16 Jun 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
AAML
62
33
0
16 Jun 2020
Probabilistic Safety Constraints for Learned High Relative Degree System
  Dynamics
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
M. J. Khojasteh
Vikas Dhiman
M. Franceschetti
Nikolay Atanasov
38
73
0
20 Dec 2019
Safe Exploration for Interactive Machine Learning
Safe Exploration for Interactive Machine Learning
M. Turchetta
Felix Berkenkamp
Andreas Krause
22
87
0
30 Oct 2019
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic
  Bayesian Optimisation
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
Ryan-Rhys Griffiths
Alexander A. Aldrick
Miguel García-Ortegón
Vidhi R. Lalchand
A. Lee
31
35
0
17 Oct 2019
Linear Stochastic Bandits Under Safety Constraints
Linear Stochastic Bandits Under Safety Constraints
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
33
117
0
16 Aug 2019
Rarely-switching linear bandits: optimization of causal effects for the
  real world
Rarely-switching linear bandits: optimization of causal effects for the real world
B. Lansdell
Sofia Triantafillou
Konrad Paul Kording
22
4
0
30 May 2019
Learning to Control Highly Accelerated Ballistic Movements on Muscular
  Robots
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots
Le Chen
Roberto Calandra
Jan Peters
15
19
0
07 Apr 2019
Efficient and Safe Exploration in Deterministic Markov Decision
  Processes with Unknown Transition Models
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models
Erdem Biyik
Jonathan Margoliash
S. R. Alimo
Dorsa Sadigh
19
15
0
01 Apr 2019
Safe Exploration in Markov Decision Processes
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
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