Gaussian Processes for Data-Efficient Learning in Robotics and Control

10 February 2015

Papers citing "Gaussian Processes for Data-Efficient Learning in Robotics and Control"

35 / 235 papers shown

Title
ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems James Harrison Animesh Garg Boris Ivanovic Yuke Zhu Silvio Savarese Li Fei-Fei Marco Pavone 29 25 0 15 Jul 2017
Distributionally Ambiguous Optimization Techniques for Batch Bayesian Optimization Nikitas Rontsis Michael A. Osborne Paul Goulart 15 4 0 13 Jul 2017
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes Taylor W. Killian Samuel Daulton George Konidaris Finale Doshi-Velez 22 105 0 20 Jun 2017
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control Sanket Kamthe M. Deisenroth 16 216 0 20 Jun 2017
Identification of Gaussian Process State Space Models Stefanos Eleftheriadis Tom Nicholson M. Deisenroth J. Hensman 32 111 0 30 May 2017
Goal-Driven Dynamics Learning via Bayesian Optimization Somil Bansal Roberto Calandra Ted Xiao Sergey Levine Claire Tomlin 12 113 0 27 Mar 2017
Black-Box Data-efficient Policy Search for Robotics Konstantinos Chatzilygeroudis R. Rama Rituraj Kaushik Dorian Goepp Vassilis Vassiliades Jean-Baptiste Mouret OffRL 22 112 0 21 Mar 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 37 159 0 08 Mar 2017
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers Andreas Doerr D. Nguyen-Tuong A. Marco S. Schaal Sebastian Trimpe 11 31 0 08 Mar 2017
Lipschitz Optimisation for Lipschitz Interpolation Jan-Peter Calliess 13 31 0 28 Feb 2017
Towards a Common Implementation of Reinforcement Learning for Multiple Robotic Tasks Angel Martínez-Tenor Juan-Antonio Fernández-Madrigal A. Cruz-Martín Javier González Jiménez OffRL 13 32 0 21 Feb 2017
Lazily Adapted Constant Kinky Inference for Nonparametric Regression and Model-Reference Adaptive Control Jan-Peter Calliess 19 50 0 31 Dec 2016
Controlling Robot Morphology from Incomplete Measurements M. Pecka Karel Zimmermann M. Reinstein Tomáš Svoboda 11 20 0 08 Dec 2016
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes Taylor W. Killian George Konidaris Finale Doshi-Velez OOD 18 8 0 01 Dec 2016
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 26 200 0 21 Nov 2016
Cognitive Indoor Positioning and Tracking using Multipath Channel Information E. Leitinger Paul Meissner K. Witrisal 4 11 0 19 Oct 2016
Reset-free Trial-and-Error Learning for Robot Damage Recovery Konstantinos Chatzilygeroudis Vassilis Vassiliades Jean-Baptiste Mouret 13 102 0 13 Oct 2016
Micro-Data Learning: The Other End of the Spectrum Jean-Baptiste Mouret 19 19 0 04 Oct 2016
Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference Yunpeng Pan Xinyan Yan Evangelos Theodorou Byron Boots 6 7 0 22 Aug 2016
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction Ali Ghadirzadeh Judith Butepage A. Maki Danica Kragic Mårten Björkman 25 49 0 27 Jul 2016
Prediction performance after learning in Gaussian process regression Johan Wågberg Dave Zachariah Thomas B. Schon Petre Stoica 28 16 0 13 Jun 2016
A Bayesian Approach to Policy Recognition and State Representation Learning Adrian Šošić A. Zoubir Heinz Koeppl 14 9 0 04 May 2016
Self-learning and adaptation in a sensorimotor framework Ali Ghadirzadeh Judith Butepage Danica Kragic Mårten Björkman 24 9 0 05 Jan 2016
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond Chun Kai Ling K. H. Low Patrick Jaillet 26 76 0 21 Nov 2015
Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models Yannis Assael Niklas Wahlström Thomas B. Schon M. Deisenroth 24 37 0 08 Oct 2015
Modeling and interpolation of the ambient magnetic field by Gaussian processes Arno Solin Manon Kok Niklas Wahlström Thomas B. Schon Simo Särkkä 7 116 0 15 Sep 2015
Semi-described and semi-supervised learning with Gaussian processes Andreas C. Damianou Neil D. Lawrence 28 34 0 03 Sep 2015
Occlusion-Aware Object Localization, Segmentation and Pose Estimation Samarth Brahmbhatt H. B. Amor H. Christensen 19 8 0 27 Jul 2015
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models Andreas Svensson Arno Solin Simo Särkkä Thomas B. Schon 35 57 0 07 Jun 2015
Linear Maximum Margin Classifier for Learning from Uncertain Data Christos Tzelepis Vasileios Mezaris Ioannis Patras 23 41 0 15 Apr 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 31 340 0 10 Feb 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models Niklas Wahlström Thomas B. Schon M. Deisenroth 23 189 0 08 Feb 2015
Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression Jun Wei Ng M. Deisenroth 39 51 0 09 Dec 2014
Learning deep dynamical models from image pixels Niklas Wahlström Thomas B. Schon M. Deisenroth 11 60 0 28 Oct 2014
Multi-Task Policy Search M. Deisenroth Péter Englert Jan Peters Dieter Fox OffRL 36 3 0 02 Jul 2013