Two-staged Dimensionlity Reduction for Evolutionary Learning

Abstract

In this presentation, two-staged dimensionality reductions are examined for Evolutionary Learning: The first stage of dimensionality reduction aims to yield compact representation of each of sensory input. The second stage tries to synthesize reduced sensory inputs. We apply these synthesized inputs to the Instance-Based Policy Optimization, a sort of Evolutionary Learning.