337 search results - page 27 / 68 » An Anytime Algorithm for Decision Making under Uncertainty |
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
MANSCI
2010
13 years 7 months ago
2010
This paper introduces a choice-based method that for the first time makes it possible to quantitatively measure regret theory, one of the most popular models of decision under unc...
Publication
Partially observable Markov decision processes (POMDPs) have been
successfully applied to various robot motion planning tasks under uncertainty.
However, most existing POMDP algo...
KR
2004
Springer
14 years 2 months ago
2004
Springer
We consider complex scheduling problems that can be captured as optimization under hard and soft constraints. The objective of such an optimization problem is to satisfy as many h...
ICTAI
1996
IEEE
14 years 29 days ago
1996
IEEE
We present a mechanism for recovering consistent data from inconsistent set of assertions. For a common family of knowledge-bases we also provide an efficient algorithm for doing ...