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1 Ergebnisse
1
Multi-Agent Q-Learning for Power Allocation in Interference..:
, In:
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
,
Wongphatcharatham, Tanutsorn
;
Phakphisut, Watid
;
Wijitpornchai, Thongchai
... - p. 876-879 , 2022
Link:
https://doi.org/10.1109/ITC-CSCC55581.2022.9894852
RT T1 <cTitle>2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)</cTitle>: T1 <Title>Multi-Agent Q-Learning for Power Allocation in Interference Channel</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9894852&Exemplar=1&LAN=DE A1 Wongphatcharatham, Tanutsorn A1 Phakphisut, Watid A1 Wijitpornchai, Thongchai A1 Areeprayoonkij, Poonlarp A1 Jaruvitayakovit, Tanun A1 Hannanta-anan, Pimkhuan YR 2022 K1 Computers K1 Q-learning K1 Transmitters K1 Wireless networks K1 Computational modeling K1 Interference channels K1 Resource management K1 Multi-Agent K1 Reinforcement Learning K1 Power Allocation K1 Wireless Networks SP 876 OP 879 LK http://dx.doi.org/https://doi.org/10.1109/ITC-CSCC55581.2022.9894852 DO https://doi.org/10.1109/ITC-CSCC55581.2022.9894852 SF ELIB - SuUB Bremen
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