How to Motivate Embodied Machines?
Reinforcement learning represents a mathematical framework for training embodied machines to fulfill a particular task. This task is usually pre-defined by the conceptor, as is modelled as a Markov Decision Process whose reward function usually dictates the learned behavior. However, can these embodied machines learn by their own without this external rewarding signal ? In this blog post, we present a vulgarization of the idea of intrinsically motivated embodied machines.
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