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%0 Journal Article
%1 journals/cce/HubbsLSGW20
%A Hubbs, Christian D.
%A Li, Can
%A Sahinidis, Nikolaos V.
%A Grossmann, Ignacio E.
%A Wassick, John M.
%D 2020
%J Comput. Chem. Eng.
%K dblp
%P 106982
%T A deep reinforcement learning approach for chemical production scheduling.
%U http://dblp.uni-trier.de/db/journals/cce/cce141.html#HubbsLSGW20
%V 141
@article{journals/cce/HubbsLSGW20,
added-at = {2021-05-14T00:00:00.000+0200},
author = {Hubbs, Christian D. and Li, Can and Sahinidis, Nikolaos V. and Grossmann, Ignacio E. and Wassick, John M.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2640ba454eb30ec94b19d2bc3c526bb91/dblp},
ee = {https://doi.org/10.1016/j.compchemeng.2020.106982},
interhash = {984a979df9a12913cdaed7779a041508},
intrahash = {640ba454eb30ec94b19d2bc3c526bb91},
journal = {Comput. Chem. Eng.},
keywords = {dblp},
pages = 106982,
timestamp = {2022-01-06T11:08:50.000+0100},
title = {A deep reinforcement learning approach for chemical production scheduling.},
url = {http://dblp.uni-trier.de/db/journals/cce/cce141.html#HubbsLSGW20},
volume = 141,
year = 2020
}