60 search results - page 1 / 12 » Region-based value iteration for partially observable Markov... |
90
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
102
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AIPS
2008
15 years 2 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-...
104
Voted
JAIR
2000
15 years 4 days 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...
160
Voted
PAMI
2007
14 years 12 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...
95
Voted
AAAI
1997
15 years 1 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 ...