Partially observable Markov decision process

Known as: POMDP, Partially observable Markov decision problem 
A partially observable Markov decision process (POMDP) is a generalization of a Markov decision process (MDP). A POMDP models an agent decision… (More)
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Papers overview

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2018
2018
Real-time pricing (RTP) is a utility-offered dynamic pricing program to incentivize customers to make changes in their energy… (More)
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2012
2012
The problem of classifying targets in sonar images from multiple views is modeled as a partially observable Markov decision… (More)
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Highly Cited
2010
Highly Cited
2010
A fundamental problem faced by animals is learning to select actions based on noisy sensory information and incomplete knowledge… (More)
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Highly Cited
2009
Highly Cited
2009
The Partially Observable Markov Decision Process (POMDP) framework has proven useful in planning domains where agents must… (More)
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Highly Cited
2007
Highly Cited
2007
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because… (More)
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Highly Cited
2005
Highly Cited
2005
While numerous models of human/human conversation have been proposed and evaluated, human/computer conversation currently lacks a… (More)
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Highly Cited
2000
Highly Cited
2000
Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead, they are very often dependent and… (More)
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Highly Cited
1998
Highly Cited
1998
Autonomous mobile robots need very reliable navigation capabilities in order to operate unattended for long periods of time. We… (More)
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Highly Cited
1997
Highly Cited
1997
Most exact algorithms for general par­ tially observable Markov decision processes (POMDPs) use a form of dynamic program­ ming… (More)
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Highly Cited
1994
Highly Cited
1994
Increasing attention has been paid to reinforcement learning algo rithms in recent years partly due to successes in the… (More)
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