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Sustainable reward mechanisms for multi-objective policy design using reinforcement learning in 6G networks

author
Latif, Aamir
Le Moullec, Yannick
Alam, Muhammad Mahtab
source
2026 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
publisher
IEEE
year of publication
2026
pages
p. 527-533
conference name, date
2026 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2-5 June 2026
conference location
Malaga, Spain
url
https://ieeexplore.ieee.org/document/11577294
https://doi.org/10.1109/EuCNC/6GSummit68295.2026.11577294
subject term
rakud
võrrandid
interferents
sildistamine (psühholoogia)
tehisintellekt
planeerimine
keyword
cells (biology)
equations
training
interference
tagging
learning (artificial intelligence)
optimization (EMO)
modeling
printing process
schedules
ISSN
2575-4912
ISBN
979-8-3315-7019-4
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Thomas Johann Seebeck Department of Electronics
language
English
Latif, A., Le Moullec, Y., Alam, M. M. Sustainable reward mechanisms for multi-objective policy design using reinforcement learning in 6G networks // 2026 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). : IEEE, 2026. p. 527-533. https://ieeexplore.ieee.org/document/11577294 https://doi.org/10.1109/EuCNC/6GSummit68295.2026.11577294