Abstract This chapter presents and evaluates an on-line representation selection method for factored MDPs. The method addresses a special case of the feature selection problem that only considers certain sub-sets of features, which we call candidate representations. A motivation for the method is that it can potentially deal with problems where other structure learning algorithms are infeasible due to a large degree of the associated dynamic Bayesian network (DBN). Our method uses switch actions to select a r…
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