231 search results - page 37 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
144
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
104
Voted
PRIMA
2007
Springer
15 years 9 months ago
2007
Springer
Multiagent Partially Observable Markov Decision Processes are a popular model of multiagent systems with uncertainty. Since the computational cost for finding an optimal joint pol...
174
Voted
AI
2011
Springer
14 years 7 months ago
2011
Springer
In this work, we explore how local interactions can simplify the process of decision-making in multiagent systems, particularly in multirobot problems. We review a recent decision-...
105
Voted
UAI
2004
15 years 5 months ago
2004
We present a major improvement to the incremental pruning algorithm for solving partially observable Markov decision processes. Our technique targets the cross-sum step of the dyn...
142
Voted
ICMCS
2009
IEEE
15 years 1 months ago
2009
IEEE
The importance of dialog management systems has increased in recent years. Dialog systems are created for domain specific applications, so that a high demand for a flexible dialog...