Sciweavers

183 search results - page 26 / 37
» Accelerating neuroevolutionary methods using a Kalman filter
Sort
View
ICML
2007
IEEE
14 years 8 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
ICRA
2007
IEEE
137views Robotics» more  ICRA 2007»
14 years 2 months ago
A Hybrid Active Global Localisation Algorithm for Mobile Robots
— Localisation is one of the most important tasks to be accomplished in order to realize the complete autonomy of a mobile robot. In this paper, a new strategy for global localis...
Andrea Gasparri, Stefano Panzieri, Federica Pascuc...
NIPS
2003
13 years 9 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc
AAAI
2010
13 years 9 months ago
A Single-Step Maximum A Posteriori Update for Bearing-Only SLAM
This paper presents a novel recursive maximum a posteriori update for the Kalman formulation of undelayed bearing-only SLAM. The estimation update step is cast as an optimization ...
Stephen Tully, George Kantor, Howie Choset
CVPR
2008
IEEE
14 years 9 months ago
Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces
In this paper, we extend a computationally efficient framework for real-time 3D tracking and segmentation to support deformable subdivision surfaces. Segmentation is performed in a...
Fredrik Orderud, Stein I. Rabben