656 search results - page 21 / 132 » Complexity of finite-horizon Markov decision process problem... |
136
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IROS
2009
IEEE
15 years 8 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
108
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IJCAI
2001
15 years 3 months ago
2001
The progressive processing model allows a system to trade off resource consumption against the quality of the outcome by mapping each activity to a graph of potential solution met...
103
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CATS
2007
15 years 3 months ago
2007
A model for the problem of predicting the outputs of a process, based only on knowledge of previous outputs, is proposed in terms of a decision problem. The strength of this parti...
111
Voted
ICIP
1998
IEEE
16 years 3 months ago
1998
IEEE
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
121
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AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
15 years 3 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...