A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs
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文摘

We model feeding and marketing decisions of growing pigs simultaneously.

The decision process is formulated using a hierarchical Markov decision process.

We use a Bayesian approach to update the system state under repeated measurements.

We show the functionality of the model for three pens with different growth rates.

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