231 search results - page 11 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
127
Voted
UAI
2000
15 years 5 months ago
2000
We propose a new approach to the problem of searching a space of policies for a Markov decision process (MDP) or a partially observable Markov decision process (POMDP), given a mo...
153
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
144
Voted
ECAI
2008
Springer
15 years 5 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...
107
Voted
CDC
2008
IEEE
15 years 10 months ago
2008
IEEE
We consider a networked control system, where each subsystem evolves as a Markov decision process (MDP). Each subsystem is coupled to its neighbors via communication links over wh...
160
Voted
IJCAI
2001
15 years 5 months ago
2001
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...