Variance reduction

Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty

Lucas Janson, Edward Schmerling, Marco Pavone

Citations: 105 • 2017

Variance Reduction for Reinforcement Learning in Input-Driven Environments

Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh, Mohammad Alizadeh

Citations: 51 • 2018

Optimal sampling using singular value decomposition of the parameter variance space

Dan O. Popa, Arthur C. Sanderson, Vadiraj Hombal, Rick Komerska, S.S. Mupparapu, R. Blidberg, S.G. Chappel

Citations: 19 • 2005

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet, Joëlle Pineau

Citations: 12 • 2018

Control Functionals for Quasi-Monte Carlo Integration

Chris J. Oates, Mark Girolami

Citations: 10 • 2016

Stochastic Variance Reduction for Policy Gradient Estimation

Tian-Bing Xu, Qiang Liu, Jian Peng

Citations: 10 • 2017

A simulation model for use in designing robotic assembly cells

Charles R. Cash, Wilbert E. Wilhelm

Citations: 9 • 1988

Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradient

Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong

Citations: 8 • 2023

Control Functionals for Quasi-Monte Carlo Integration

Chris J. Oates, Mark Girolami

Citations: 7 • 2015

Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty

Lucas Janson, Edward Schmerling, Marco Pavone

Citations: 5 • 2015