Sciweavers

779 search results - page 59 / 156
» Reinforcement Using Supervised Learning for Policy Generaliz...
Sort
View
IWANN
2007
Springer
14 years 1 months ago
Non-parametric Residual Variance Estimation in Supervised Learning
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
Elia Liitiäinen, Amaury Lendasse, Francesco C...
ICRA
2005
IEEE
91views Robotics» more  ICRA 2005»
14 years 1 months ago
Learning to Steer on Winding Tracks Using Semi-Parametric Control Policies
— We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A neares...
Kenneth Robert Alton, Michiel van de Panne
AAAI
2007
13 years 10 months ago
Active Imitation Learning
Imitation learning, also called learning by watching or programming by demonstration, has emerged as a means of accelerating many reinforcement learning tasks. Previous work has s...
Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao
NLPRS
2001
Springer
14 years 7 days ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
NIPS
2003
13 years 9 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...