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%0 Conference Paper
%1 conf/ijcnn/0003HMVARLAE20
%A Han, Yi
%A Hubczenko, David
%A Montague, Paul
%A de Vel, Olivier Y.
%A Abraham, Tamas
%A Rubinstein, Benjamin I. P.
%A Leckie, Christopher
%A Alpcan, Tansu
%A Erfani, Sarah M.
%B IJCNN
%D 2020
%I IEEE
%K dblp
%P 1-8
%T Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.
%U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2020.html#0003HMVARLAE20
%@ 978-1-7281-6926-2
@inproceedings{conf/ijcnn/0003HMVARLAE20,
added-at = {2020-10-06T00:00:00.000+0200},
author = {Han, Yi and Hubczenko, David and Montague, Paul and de Vel, Olivier Y. and Abraham, Tamas and Rubinstein, Benjamin I. P. and Leckie, Christopher and Alpcan, Tansu and Erfani, Sarah M.},
biburl = {https://www.bibsonomy.org/bibtex/22fe2459ec2da72b04cbfb4769fbc06b4/dblp},
booktitle = {IJCNN},
crossref = {conf/ijcnn/2020},
ee = {https://doi.org/10.1109/IJCNN48605.2020.9206634},
interhash = {cde3f429c2be2a6dab4fd651800f3d1d},
intrahash = {2fe2459ec2da72b04cbfb4769fbc06b4},
isbn = {978-1-7281-6926-2},
keywords = {dblp},
pages = {1-8},
publisher = {IEEE},
timestamp = {2020-10-07T11:38:49.000+0200},
title = {Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.},
url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2020.html#0003HMVARLAE20},
year = 2020
}