129 search results - page 15 / 26 » Automatic Recovery Using Bounded Partially Observable Markov... |
HICSS
2003
IEEE
14 years 28 days ago
2003
IEEE
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
IJCAI
2007
13 years 9 months ago
2007
Computers have already eclipsed the level of human play in competitive Scrabble, but there remains room for improvement. In particular, there is much to be gained by incorporating...
IJCAI
2003
13 years 9 months ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
FGR
2006
IEEE
14 years 1 months ago
2006
IEEE
We present a novel tracking algorithm that uses dynamic programming to determine the path of target objects and that is able to track an arbitrary number of different objects. The...
CDC
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...