PSBF exploits passivity causality in DBNs to maintain factored beliefs and perform selective updates, outperforming alternatives in synthetic processes and multi-robot warehouse simulations.
The factored frontier algorithm for approximate inference in DBNs
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Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract)
PSBF exploits passivity causality in DBNs to maintain factored beliefs and perform selective updates, outperforming alternatives in synthetic processes and multi-robot warehouse simulations.