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A Bayesian Approach to Policy Recognition and State Representation Learning

Šošić, A. and Zoubir, A. M. and Koeppl, H. (2018):
A Bayesian Approach to Policy Recognition and State Representation Learning.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1295-1308, 40, (6), DOI: 10.1109/TPAMI.2017.2711024, [Online-Edition: https://doi.org/10.1109/TPAMI.2017.2711024],
[Article]

Item Type: Article
Erschienen: 2018
Creators: Šošić, A. and Zoubir, A. M. and Koeppl, H.
Title: A Bayesian Approach to Policy Recognition and State Representation Learning
Language: English
Journal or Publication Title: IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume: 40
Number: 6
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Signal Processing
Date Deposited: 03 May 2016 16:59
DOI: 10.1109/TPAMI.2017.2711024
Official URL: https://doi.org/10.1109/TPAMI.2017.2711024
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