Imed Ghnaya, Toufik Ahmed, Mohamed Mosbah 0001, Hasnaâ Aniss. Maximizing Information Usefulness in Vehicular CP Networks Using Actor-Critic Reinforcement Learning. In Marinos Charalambides, Panagiotis Papadimitriou 0001, Walter Cerroni, Salil S. Kanhere, Lefteris Mamatas, editors, 18th International Conference on Network and Service Management, CNSM 2022, Thessaloniki, Greece, October 31 - Nov. 4, 2022. pages 296-302, IEEE, 2022. [doi]
@inproceedings{GhnayaAMA22,
title = {Maximizing Information Usefulness in Vehicular CP Networks Using Actor-Critic Reinforcement Learning},
author = {Imed Ghnaya and Toufik Ahmed and Mohamed Mosbah 0001 and Hasnaâ Aniss},
year = {2022},
doi = {10.23919/CNSM55787.2022.9964740},
url = {https://doi.org/10.23919/CNSM55787.2022.9964740},
researchr = {https://researchr.org/publication/GhnayaAMA22},
cites = {0},
citedby = {0},
pages = {296-302},
booktitle = {18th International Conference on Network and Service Management, CNSM 2022, Thessaloniki, Greece, October 31 - Nov. 4, 2022},
editor = {Marinos Charalambides and Panagiotis Papadimitriou 0001 and Walter Cerroni and Salil S. Kanhere and Lefteris Mamatas},
publisher = {IEEE},
isbn = {978-3-903176-51-5},
}