TU Darmstadt / ULB / TUbiblio

A Bayesian Approach to Policy Recognition and State Representation Learning

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

Official URL: https://doi.org/10.1109/TPAMI.2017.2711024
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
Export:

Optionen (nur für Redakteure)

View Item View Item