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CURE: Simulation-Augmented Auto-Tuning in Robotics
v1v2v3 (latest)

CURE: Simulation-Augmented Auto-Tuning in Robotics

8 February 2024
Md. Abir Hossen
Sonam Kharade
Jason M. O'Kane
B. Schmerl
David Garlan
Pooyan Jamshidi
ArXiv (abs)PDFHTML

Papers citing "CURE: Simulation-Augmented Auto-Tuning in Robotics"

23 / 23 papers shown
Title
Systematic Evaluation of Initial States and Exploration-Exploitation Strategies in PID Auto-Tuning: A Framework-Driven Approach Applied on Mobile Robots
Systematic Evaluation of Initial States and Exploration-Exploitation Strategies in PID Auto-Tuning: A Framework-Driven Approach Applied on Mobile Robots
Zaid Ghazal
Ali Al-Bustami
Khouloud Gaaloul
Jaerock Kwon
62
0
0
06 May 2025
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable
  Robots
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots
Md. Abir Hossen
Sonam Kharade
B. Schmerl
Javier Cámara
Jason M. O'Kane
E. Czaplinski
K. Dzurilla
David Garlan
Pooyan Jamshidi
85
10
0
18 Jan 2023
Do Performance Aspirations Matter for Guiding Software Configuration
  Tuning?
Do Performance Aspirations Matter for Guiding Software Configuration Tuning?
Tao Chen
Miqing Li
61
24
0
09 Jan 2023
DriveFuzz: Discovering Autonomous Driving Bugs through Driving
  Quality-Guided Fuzzing
DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing
Seulbae Kim
Major Liu
J. Rhee
Yuseok Jeon
Yonghwi Kwon
C. Kim
84
51
0
25 Oct 2022
Why did I fail? A Causal-based Method to Find Explanations for Robot
  Failures
Why did I fail? A Causal-based Method to Find Explanations for Robot Failures
Maximilian Diehl
Karinne Ramirez-Amaro
85
32
0
09 Apr 2022
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies
  Learned in Simulation
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation
Rituraj Kaushik
Karol Arndt
Ville Kyrki
75
9
0
27 Jan 2022
Examining and Combating Spurious Features under Distribution Shift
Examining and Combating Spurious Features under Distribution Shift
Chunting Zhou
Xuezhe Ma
Paul Michel
Graham Neubig
OOD
96
68
0
14 Jun 2021
Differentiable Expected Hypervolume Improvement for Parallel
  Multi-Objective Bayesian Optimization
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Sam Daulton
Maximilian Balandat
E. Bakshy
105
243
0
09 Jun 2020
Causal Bayesian Optimization
Causal Bayesian Optimization
Virginia Aglietti
Xiaoyu Lu
Andrei Paleyes
Javier Gonz' alez
CML
54
50
0
24 May 2020
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
G. Kahn
Pieter Abbeel
Sergey Levine
SSL
73
267
0
13 Feb 2020
Data-efficient Learning of Morphology and Controller for a Microrobot
Data-efficient Learning of Morphology and Controller for a Microrobot
Thomas I. Liao
Grant Wang
Brian Yang
R. Lee
K. Pister
Sergey Levine
Roberto Calandra
63
51
0
03 May 2019
Robot Learning in Homes: Improving Generalization and Reducing Dataset
  Bias
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Abhinav Gupta
Adithyavairavan Murali
Dhiraj Gandhi
Lerrel Pinto
131
153
0
18 Jul 2018
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization
  for Bipedal Robots
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots
Akshara Rai
Rika Antonova
Franziska Meier
C. Atkeson
89
29
0
07 May 2018
Learning Human-Aware Path Planning with Fully Convolutional Networks
Learning Human-Aware Path Planning with Fully Convolutional Networks
Noé Pérez-Higueras
F. Caballero
L. Merino
55
45
0
01 Mar 2018
Transfer Learning for Performance Modeling of Configurable Systems: An
  Exploratory Analysis
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis
Pooyan Jamshidi
Norbert Siegmund
Miguel Velez
Christian Kastner
Akshay Patel
Yuvraj Agarwal
83
116
0
07 Sep 2017
From Perception to Decision: A Data-driven Approach to End-to-end Motion
  Planning for Autonomous Ground Robots
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots
Mark Pfeiffer
Michaela Schaeuble
Juan I. Nieto
Roland Siegwart
Cesar Cadena
96
384
0
26 Sep 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic
  Parameter Tuning in Robotics
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
Felix Berkenkamp
Andreas Krause
Angela P. Schoellig
154
287
0
14 Feb 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization
Predictive Entropy Search for Multi-objective Bayesian Optimization
Daniel Hernández-Lobato
José Miguel Hernández-Lobato
Amar Shah
Ryan P. Adams
161
190
0
17 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
415
13,333
0
09 Sep 2015
Markovian acyclic directed mixed graphs for discrete data
Markovian acyclic directed mixed graphs for discrete data
R. Evans
Thomas S. Richardson
145
56
0
28 Jan 2013
Order-independent constraint-based causal structure learning
Order-independent constraint-based causal structure learning
Diego Colombo
Marloes H. Maathuis
CML
169
607
0
14 Nov 2012
Large-Sample Learning of Bayesian Networks is NP-Hard
Large-Sample Learning of Bayesian Networks is NP-Hard
D. M. Chickering
Christopher Meek
David Heckerman
BDL
144
795
0
19 Oct 2012
Learning high-dimensional directed acyclic graphs with latent and
  selection variables
Learning high-dimensional directed acyclic graphs with latent and selection variables
Diego Colombo
Marloes H. Maathuis
M. Kalisch
Thomas S. Richardson
CML
138
468
0
29 Apr 2011
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