Gaussian Process Self-triggered Policy Search in Weakly Observable Environments

7 May 2022

Papers citing "Gaussian Process Self-triggered Policy Search in Weakly Observable Environments"

6 / 6 papers shown

Title
Excavation Learning for Rigid Objects in Clutter Qingkai Lu Liangjun Zhang 48 15 0 09 Jul 2021
Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions Hikaru Sasaki Takamitsu Matsubara 16 6 0 14 Jun 2021
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 68 47 0 30 Jul 2020
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 81 155 0 06 Jul 2018
Stochastic Variational Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 106 267 0 01 Nov 2016
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 120 694 0 10 Feb 2015