Learn Static Policy
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Our team is currently rewriting this page, along with many other sections of this website, to reflect the features of the latest release of BayesiaLab. So, please consider this a work in progress and excuse errors, broken links, and missing images.
If the network has Decision and Utility nodes, action policies can be learned for static Bayesian networks and for Dynamic Bayesian networks. The scheme used for policy learning relies on dynamic programming and reinforcement learning principles, which makes this learning available with exact as well as approximate inference. Learning policies is only available in Validation mode.