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Evolutionary robotics offers an efficient and easy-to-use framework for automatically building behaviors for an autonomous robot. However, a major drawback of this approach relies in the difficulty to define the fitness function (i.e. the learning setup) in order to get satisfying results. Recent works addressed this issue either by decomposing the learning task or by endowing the agent with such...