Search Machine Learning Repository:
All publications by Stefan Schaal
authors venues years



Incremental Local Gaussian Regression
Franziska Meier, Philipp Hennig and Stefan Schaal
Advances in Neural Information Processing Systems 27, 2014


Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou and Stefan Schaal
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning Policy Improvements with Path Integrals
Evangelos Theodorou, Jonas Buchli and Stefan Schaal
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


A Library for Locally Weighted Projection Regression
Stefan Klanke, Sethu Vijayakumar and Stefan Schaal
Journal of Machine Learning Research, 2008


Bayesian Kernel Shaping for Learning Control
Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar and Stefan Schaal
Advances in Neural Information Processing Systems 21, 2008


Reinforcement learning by reward-weighted regression for operational space control
Jan R. Peters and Stefan Schaal
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Bayesian regression with input noise for high dimensional data
Jo-anne Ting, Aaron D'souza and Stefan Schaal
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


The Bayesian backfitting relevance vector machine
Aaron D'souza, Sethu Vijayakumar and Stefan Schaal
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning Attractor Landscapes for Learning Motor Primitives
Auke J. Ijspeert, Jun Nakanishi and Stefan Schaal
Advances in Neural Information Processing Systems 15, 2002