60 search results - page 1 / 12 » Region-based value iteration for partially observable Markov... |
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
AIPS
2008
13 years 7 months ago
2008
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
JAIR
2000
13 years 4 months ago
2000
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
PAMI
2007
13 years 4 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
AAAI
1997
13 years 6 months ago
1997
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...