Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization

3 March 2017

Papers citing "Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization"

25 / 25 papers shown

Title
Multi-Fidelity Policy Gradient Algorithms Xinjie Liu Cyrus Neary Kushagra Gupta Christian Ellis Ufuk Topcu David Fridovich-Keil OffRL 197 0 0 07 Mar 2025
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models Hersh Sanghvi Spencer Folk Camillo J Taylor 47 3 0 25 Jun 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
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization Zahra Shahrooei Mykel J. Kochenderfer Ali Baheri 36 6 0 28 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources P. Mikkola Julien Martinelli Louis Filstroff Samuel Kaski 35 10 0 25 Oct 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 45 27 0 15 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 0 07 Jun 2022
Emulation of physical processes with Emukit Andrei Paleyes Mark Pullin Maren Mahsereci Cliff McCollum Neil D. Lawrence Javier I. González 12 79 0 25 Oct 2021
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands Liam Schramm A. Sintov Abdeslam Boularias 33 6 0 21 May 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations Changkyu Song Abdeslam Boularias 32 39 0 11 May 2020
Identifying Mechanical Models through Differentiable Simulations Changkyu Song Abdeslam Boularias 27 12 0 11 May 2020
Safe Exploration for Interactive Machine Learning M. Turchetta Felix Berkenkamp Andreas Krause 22 87 0 30 Oct 2019
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Marius Lindauer Matthias Feurer Katharina Eggensperger André Biedenkapp Frank Hutter 20 18 0 19 Aug 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 16 15 0 17 Jun 2019
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking Siqi Zhou Andriy Sarabakha Erdal Kayacan M. Helwa Angela P. Schoellig 35 13 0 30 Mar 2019
A review of domain adaptation without target labels Wouter M. Kouw Marco Loog OOD VLM 13 477 0 16 Jan 2019
Gait learning for soft microrobots controlled by light fields Alexander von Rohr Sebastian Trimpe A. Marco P. Fischer S. Palagi 16 16 0 10 Sep 2018
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
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 31 14 0 24 Oct 2017
Deep Kernels for Optimizing Locomotion Controllers Rika Antonova Akshara Rai C. Atkeson 33 45 0 27 Jul 2017
Multi-Robot Transfer Learning: A Dynamical System Perspective M. Helwa Angela P. Schoellig 44 39 0 27 Jul 2017
Mutual Alignment Transfer Learning Markus Wulfmeier Ingmar Posner Pieter Abbeel 16 60 0 25 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 51 551 0 19 Jul 2017
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 31 275 0 14 Feb 2016