Deep Kernels for Optimizing Locomotion Controllers

27 July 2017

Papers citing "Deep Kernels for Optimizing Locomotion Controllers"

12 / 12 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
Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion Xin Duan Ziwen Zhuang Hang Zhao Soeren Schwertfeger 49 2 0 30 Sep 2024
PACSBO: Probably approximately correct safe Bayesian optimization Abdullah Tokmak Thomas B. Schon Dominik Baumann 34 2 0 02 Sep 2024
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization Deepak Raina S. Chandrashekhara Richard M. Voyles J. Wachs S. K. Saha 45 6 0 11 Oct 2023
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
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels Noémie Jaquier Viacheslav Borovitskiy A. Smolensky Alexander Terenin Tamim Asfour Leonel Rozo 29 35 0 02 Nov 2021
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection Lukas P. Frohlich Edgar D. Klenske Christian Daniel M. Zeilinger 18 12 0 21 Jan 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Interactive Trajectory Adaptation through Force-guided Bayesian Optimization Leonel Rozo 19 14 0 20 Aug 2019
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Learning Flexible and Reusable Locomotion Primitives for a Microrobot Brian Yang Grant Wang Roberto Calandra D. Contreras Sergey Levine K. Pister 17 26 0 01 Mar 2018
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 92 271 0 24 Feb 2014