1704 search results - page 44 / 341 » Learning nonlinear dynamic models |
NIPS
2007
13 years 10 months ago
2007
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques...
ICRA
2005
IEEE
14 years 2 months ago
2005
IEEE
Abstract— To keep pace with recent advances in microrobotic structures demands actuator technologies which can deliver high power and precise motion. For electroactive material b...
BC
2008
13 years 8 months ago
2008
Reduced models have long been used as a tool for the analysis of the complex activity taking place in neurons and their coupled networks. Recent advanced in experimental and theore...
HUMO
2007
Springer
14 years 2 months ago
2007
Springer
We present a method to simultaneously estimate 3d body pose and action categories from monocular video sequences. Our approach learns a lowdimensional embedding of the pose manifol...
ICML
1994
IEEE
14 years 21 hour ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...