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CURE: Simulation-Augmented Auto-Tuning in Robotics

8 February 2024

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 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 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? Tao Chen Miqing Li 61 24 0 09 Jan 2023
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 Maximilian Diehl Karinne Ramirez-Amaro 85 32 0 09 Apr 2022
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 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 Sam Daulton Maximilian Balandat E. Bakshy 103 243 0 09 Jun 2020
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 G. Kahn Pieter Abbeel Sergey Levine SSL 73 267 0 13 Feb 2020
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 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 Akshara Rai Rika Antonova Franziska Meier C. Atkeson 89 29 0 07 May 2018
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 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 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 Felix Berkenkamp Andreas Krause Angela P. Schoellig 154 287 0 14 Feb 2016
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 Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 412 13,333 0 09 Sep 2015
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 Diego Colombo Marloes H. Maathuis CML 169 607 0 14 Nov 2012
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 Diego Colombo Marloes H. Maathuis M. Kalisch Thomas S. Richardson CML 138 468 0 29 Apr 2011