Black-Box Data-efficient Policy Search for Robotics

21 March 2017

Papers citing "Black-Box Data-efficient Policy Search for Robotics"

10 / 10 papers shown

Title
On-Line Learning for Planning and Control of Underactuated Robots with Uncertain Dynamics Giulio Turrisi Marco Capotondi C. Gaz Valerio Modugno Giuseppe Oriolo Alessandro De Luca 135 8 0 30 Jan 2025
Patchwork Kriging for Large-scale Gaussian Process Regression Chiwoo Park D. Apley 45 75 0 23 Jan 2017
Limbo: A Fast and Flexible Library for Bayesian Optimization Antoine Cully Konstantinos Chatzilygeroudis Federico Allocati Jean-Baptiste Mouret 36 18 0 22 Nov 2016
Reset-free Trial-and-Error Learning for Robot Damage Recovery Konstantinos Chatzilygeroudis Vassilis Vassiliades Jean-Baptiste Mouret 30 102 0 13 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 465 9,233 0 06 Jun 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 86 688 0 10 Feb 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 45 341 0 10 Feb 2015
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 59 1,032 0 13 Jul 2014
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation Syogo Mori Voot Tangkaratt Tingting Zhao Jun Morimoto Masashi Sugiyama OffRL 48 27 0 19 Jul 2013
PEGASUS: A Policy Search Method for Large MDPs and POMDPs A. Ng Michael I. Jordan 53 496 0 16 Jan 2013