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126
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AAAI
2010
15 years 3 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
144
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JCP
2008
15 years 1 months ago
2008
In sensor networks, continuous query is commonly used for collecting periodical data from the objects under monitoring. This sort of queries needs to be carefully designed, in orde...
118
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UAI
2004
15 years 3 months ago
2004
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
AIPS
2000
15 years 3 months ago
2000
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
124
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ISPW
1996
IEEE
15 years 6 months ago
1996
IEEE
A 1968 study of the software process led, inter alia, to the observation that the software process constitutes a feedback system. Attempts at its management and improvement must t...