515 search results - page 49 / 103 » Approximating Markov Processes by Averaging |
132
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WACV
2005
IEEE
15 years 11 months ago
2005
IEEE
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
141
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
172
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AAAI
2010
15 years 7 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...
157
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ICMLA
2008
15 years 7 months ago
2008
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
146
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FLAIRS
2006
15 years 7 months ago
2006
We propose a new decision-theoretic approach for solving execution-time deliberation scheduling problems using recent advances in Generalized Semi-Markov Decision Processes (GSMDP...