66 search results - page 2 / 14 » A Derivative-Free Algorithm for Least-Squares Minimization |
AAAI
2006
13 years 6 months ago
2006
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
We present a new technique that improves upon existing structure from motion (SFM) methods. We propose a SFM algorithm that is both recursive and optimal. Our method incorporates ...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
SIAMSC
2010
13 years 3 months ago
2010
This paper develops a nested iteration algorithm to solve time-dependent nonlinear systems of partial differential equations. For each time step, Newton’s method is used to form...
MICCAI
2004
Springer
14 years 6 months ago
2004
Springer
Abstract. This paper investigates the use of a total least squares approach in a generalization of the iterative closest point (ICP) algorithm for shape registration. A new General...