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AAAI
2006
13 years 9 months ago
Incremental Least Squares Policy Iteration for POMDPs
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
Hui Li, Xuejun Liao, Lawrence Carin
VMV
2000
146views Visualization» more  VMV 2000»
13 years 9 months ago
Matching 3D Freeform Shapes to Digitized Objects
In this paper the problem of matching freeform surface features against measured point data is studied. The motivation for this investigation is the recent demand for fast and rob...
Joris S. M. Vergeest, Sander Spanjaard, Jos J. O. ...
ICML
1998
IEEE
14 years 8 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
CVPR
2006
IEEE
14 years 1 months ago
Particle Video: Long-Range Motion Estimation using Point Trajectories
This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a longduration t...
Peter Sand, Seth J. Teller