30 search results - page 6 / 6 » State Space Compression with Predictive Representations |
RSS
2007
13 years 6 months ago
2007
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
AI
2011
Springer
12 years 12 months ago
2011
Springer
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is base...
ECBS
1999
IEEE
13 years 9 months ago
1999
IEEE
Engineering systems are becoming increasingly complex as state of the art technologies are incorporated into designs. Surety modeling and analysis is an emerging science which per...
CORR
2006
Springer
13 years 4 months ago
2006
Springer
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...