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

Korthals T, Schilling M, Leitner J (2019) .

Preprint | Veröffentlicht| Englisch
 
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Abstract / Bemerkung
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.
Erscheinungsjahr
2019
Seite(n)
2
Page URI
https://pub.uni-bielefeld.de/record/2938837

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Korthals T, Schilling M, Leitner J. A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. 2019.
Korthals, T., Schilling, M., & Leitner, J. (2019). A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
Korthals, T., Schilling, M., and Leitner, J. (2019). A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing.
Korthals, T., Schilling, M., & Leitner, J., 2019. A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing.
T. Korthals, M. Schilling, and J. Leitner, “A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing”, 2019.
Korthals, T., Schilling, M., Leitner, J.: A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. (2019).
Korthals, Timo, Schilling, Malte, and Leitner, Jürgen. “A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing”. (2019).
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arXiv: 1911.00584

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