Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values-Reference-Cited by-同舟云学术

Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values

Published:2022 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Abroshan Mahed¹^ORCID,Yip Kai Hou²,Tekin Cem³^ORCID,van der Schaar Mihaela⁴

Affiliation:

1. Alan Turing Institute, London NW1 2DB, U.K. (e-mail: mabroshan@turing.ac.uk)

2. University College London, London WC1E 6BT, U.K..

3. Department of Electrical and Electronics Engineering, Bilkent University, 06800 Ankara, Turkey.

4. Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB2 1TN, U.K., also with the Alan Turing Institute, London NW1 2DB, U.K., and also with the University of California, Los Angeles, CA 90095 USA.

Funder

Wave 1 of the UK Research and Innovation UKRI Strategic Priorities Fund

Alan Turing Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09675815.pdf?arnumber=9675815

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