2990 search results - page 432 / 598 » Hidden Markov processes |
190
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
256
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CSL
2012
Springer
14 years 2 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
191
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Bad weather, such as fog and haze, can significantly degrade the visibility of a scene. Optically, this is due to the substantial presence of particles in the atmosphere that abso...
176
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ECCV
1998
Springer
16 years 8 months ago
1998
Springer
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
194
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ICML
1995
IEEE
16 years 7 months ago
1995
IEEE
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...