508 search results - page 18 / 102 » Learning for stochastic dynamic programming |
147
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
100
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ICCBR
2010
Springer
15 years 5 months ago
2010
Springer
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
120
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AIPS
2008
15 years 4 months ago
2008
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
123
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CPAIOR
2006
Springer
15 years 5 months ago
2006
Springer
This paper considers online stochastic reservation problems, where requests come online and must be dynamically allocated to limited resources in order to maximize profit. Multi-k...
115
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NN
2006
Springer
15 years 1 months ago
2006
Springer
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...