48 search results - page 3 / 10 » Oracular Partially Observable Markov Decision Processes: A V... |
AAAI
2010
13 years 10 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensor...
ECAI
2008
Springer
13 years 10 months ago
2008
Springer
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
UAI
2003
13 years 10 months ago
2003
For a given problem, the optimal Markov policy over a finite horizon is a conditional plan containing a potentially large number of branches. However, there are applications wher...
IROS
2009
IEEE
14 years 3 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...