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    Chapter and Conference Paper

    Estimating Cartesian Compression via Deep Learning

    We introduce a learning architecture that can serve compression while it also satisfies the constraints of factored reinforcement learning. Our novel Cartesian factors enable one to decrease the number of variabl...

    András Lőrincz, András Sárkány, Zoltán Á. Milacski in Artificial General Intelligence (2016)