[D] Deep Reinforcement Learning with Capsnets, real difference with Convnets (CNN) ? • r/MachineLearning

I'm currently implementing an A3C agent in Tensorflow (Asynchronous Advantage Actor Critic) that plays doom (using vizdoom) and I was thinking about if there is a difference between using CNNs or Capsnets (Capsule Networks), Recently there was a big breakthrough in computer vision with these Capsnets. I know that Capsnets, instead of Convnets, handle the spatial relationship of the features and detecting rotated objects. As a consequence, I wondered if there is an advantage to use Capsnets in a Deep Reinforcement Learning agent?