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1 Ergebnisse
1
Multi-Agent Reinforcement Learning-Based Coverage Maximizat..:
, In:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
,
Lyu, Hyeonsu
;
Hwang, SeongJin
;
Yang, Hyun Jong
- p. 1529-1532 , 2022
Link:
https://doi.org/10.1109/ICTC55196.2022.9953023
RT T1 <cTitle>2022 13th International Conference on Information and Communication Technology Convergence (ICTC)</cTitle>: T1 <Title>Multi-Agent Reinforcement Learning-Based Coverage Maximization for Fixed-Wing Base Stations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9953023&Exemplar=1&LAN=DE A1 Lyu, Hyeonsu A1 Hwang, SeongJin A1 Yang, Hyun Jong YR 2022 SN 2162-1241 K1 Base stations K1 Wireless sensor networks K1 Reinforcement learning K1 Trajectory K1 Information and communication technology K1 Convergence K1 Fixed-wing K1 deep Q-network K1 multi-agent trajectory-planning K1 wireless sensor network SP 1529 OP 1532 LK http://dx.doi.org/https://doi.org/10.1109/ICTC55196.2022.9953023 DO https://doi.org/10.1109/ICTC55196.2022.9953023 SF ELIB - SuUB Bremen
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