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BibTex format

@article{Madani:2014:10.1016/j.jhydrol.2014.07.061,
author = {Madani, K and Hooshyar, M},
doi = {10.1016/j.jhydrol.2014.07.061},
journal = {JOURNAL OF HYDROLOGY},
pages = {732--742},
title = {A game theory-reinforcement learning (GT-RL) method to develop optimal operation policies for multi-operator reservoir systems},
url = {http://dx.doi.org/10.1016/j.jhydrol.2014.07.061},
volume = {519},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Madani,K
AU  - Hooshyar,M
DO  - 10.1016/j.jhydrol.2014.07.061
EP  - 742
PY  - 2014///
SN  - 0022-1694
SP  - 732
TI  - A game theory-reinforcement learning (GT-RL) method to develop optimal operation policies for multi-operator reservoir systems
T2  - JOURNAL OF HYDROLOGY
UR  - http://dx.doi.org/10.1016/j.jhydrol.2014.07.061
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000347589500060&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 519
ER  -
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