A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing

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Nov 01, 2019
Timo Korthals, Malte Schilling, Jürgen Leitner
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This contribution comprises the interplay between a multi-modal variational autoencoder and an environment to a perceived environment, on which an agent can act. Furthermore, we conclude our work with a comparison to curiosity-driven learning.

* Extended Abstract for the IROS 2019 Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics  
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