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

14 February 2016

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

50 / 51 papers shown

Title
Safety and optimality in learning-based control at low computational cost Dominik Baumann Krzysztof Kowalczyk Cristian R. Rojas K. Tiels Pawel Wachel 34 0 0 12 May 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance S. Iwazaki Shion Takeno 78 1 0 10 Feb 2025
Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles Bei Zhou Cheng Hu Jun Zeng Zhouheng Li Johannes Betz Lei Xie Hongye Su 48 2 0 07 Feb 2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions Cen-You Li Marc Toussaint Barbara Rakitsch Christoph Zimmer OffRL 204 0 0 26 Jan 2025
Distributed Thompson sampling under constrained communication Saba Zerefa Zhaolin Ren Haitong Ma Na Li 41 1 0 03 Jan 2025
Local Bayesian Optimization for Controller Tuning with Crash Constraints Alexander von Rohr David Stenger Dominik Scheurenberg Sebastian Trimpe 78 1 0 25 Nov 2024
A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction Zhouheng Li Bei Zhou Cheng Hu Lei Xie Hongye Su 26 0 0 15 Oct 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 33 1 0 12 Oct 2024
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 33 1 0 04 Oct 2024
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization Benjamin Alt Claudius Kienle Darko Katic Rainer Jäkel Michael Beetz 51 1 0 13 Sep 2024
PACSBO: Probably approximately correct safe Bayesian optimization Abdullah Tokmak Thomas B. Schon Dominik Baumann 37 2 0 02 Sep 2024
Bayesian meta learning for trustworthy uncertainty quantification Zhenyuan Yuan Thinh T. Doan UQCV 43 0 0 27 Jul 2024
CMA-ES for Safe Optimization Kento Uchida Ryoki Hamano Masahiro Nomura Shota Saito Shinichi Shirakawa 27 1 0 17 May 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
CURE: Simulation-Augmented Auto-Tuning in Robotics Md. Abir Hossen Sonam Kharade Jason M. O'Kane B. Schmerl David Garlan Pooyan Jamshidi 27 1 0 08 Feb 2024
Towards Safe Multi-Task Bayesian Optimization Jannis O. Lübsen Christian Hespe Annika Eichler 29 3 0 12 Dec 2023
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems Jason J. Choi F. Castañeda Wonsuhk Jung Bike Zhang Claire J. Tomlin Koushil Sreenath 35 3 0 23 Nov 2023
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization Ahmed Shoyeb Raihan H. Khosravi Srinjoy Das Imtiaz Ahmed 39 3 0 16 Nov 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 38 3 0 16 Jul 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 37 22 0 02 Mar 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 Feb 2023
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization Zahra Shahrooei Mykel J. Kochenderfer Ali Baheri 36 6 0 28 Dec 2022
Information-Theoretic Safe Exploration with Gaussian Processes A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 31 13 0 09 Dec 2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints Heng Guo Qi Zhu Xin Liu 29 11 0 27 Nov 2022
Fast and robust Bayesian Inference using Gaussian Processes with GPry Jonas El Gammal Nils Schöneberg J. Torrado C. Fidler GP 40 15 0 03 Nov 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach Ankush Chakrabarty 24 9 0 31 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 27 38 0 06 Oct 2022
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 37 1 0 14 Sep 2022
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments Bastian Alt Darko Katic Rainer Jäkel Michael Beetz 23 6 0 15 Jul 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi 44 36 0 09 Jun 2022
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution Lixue Cheng Ziyi Yang Chang-Yu Hsieh Ben Liao Shengyu Zhang 27 6 0 19 May 2022
Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control Lizhi Yang Zhongyu Li Jun Zeng Koushil Sreenath 16 13 0 04 Mar 2022
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation Rituraj Kaushik Karol Arndt Ville Kyrki 27 8 0 27 Jan 2022
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems Bhavya Sukhija M. Turchetta David Lindner Andreas Krause Sebastian Trimpe Dominik Baumann 31 17 0 24 Jan 2022
Bayesian optimization of distributed neurodynamical controller models for spatial navigation Armin Hadzic Grace M. Hwang Kechen Zhang Kevin M. Schultz J. Monaco 21 5 0 31 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu Sungsoo Ahn Le Song Jinwoo Shin OffRL 30 31 0 27 Oct 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-shan Shiu 31 51 0 20 Aug 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits Sanae Amani Christos Thrampoulidis 34 10 0 21 Mar 2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies Haoxin Ma Justin S. Smith Patricio A. Vela 23 4 0 02 Mar 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 20 7 0 22 Feb 2021
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes A. Benavoli Dario Azzimonti Dario Piga 27 15 0 12 Dec 2020
On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili Kia Khezeli Victor Picheny GP 25 126 0 15 Sep 2020
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 M. J. Khojasteh Vikas Dhiman M. Franceschetti Nikolay Atanasov 34 73 0 20 Dec 2019
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 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 Sanae Amani M. Alizadeh Christos Thrampoulidis 33 117 0 16 Aug 2019
Rarely-switching linear bandits: optimization of causal effects for the real world B. Lansdell Sofia Triantafillou Konrad Paul Kording 20 4 0 30 May 2019
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models Erdem Biyik Jonathan Margoliash S. R. Alimo Dorsa Sadigh 16 15 0 01 Apr 2019