71 search results - page 2 / 15 » A Behavior Adaptation Algorithm based on Hierarchical Partia... |
128
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AIPS
2008
15 years 5 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-...
129
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AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
15 years 4 months ago
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
130
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WSDM
2010
ACM
16 years 16 days ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
112
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AIPS
2003
15 years 4 months ago
2003
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...
127
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ECCV
2004
Springer
16 years 5 months ago
2004
Springer
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...