%0 Conference Paper %1 conf/nana/ZhaoGCY22 %A Zhao, Shenghui %A Gui, Bao %A Chen, Guilin %A Yang, Bin %B NaNA %D 2022 %I IEEE %K dblp %P 113-118 %T On Rate Fairness Maximization of Vehicular Networks: A Deep Reinforcement Learning Approach. %U http://dblp.uni-trier.de/db/conf/nana/nana2022.html#ZhaoGCY22 %@ 978-1-6654-6131-3

@inproceedings{conf/nana/ZhaoGCY22, added-at = {2023-01-20T00:00:00.000+0100}, author = {Zhao, Shenghui and Gui, Bao and Chen, Guilin and Yang, Bin}, biburl = {https://www.bibsonomy.org/bibtex/2f0d1741f80ed3105118997dcddf3164f/dblp}, booktitle = {NaNA}, crossref = {conf/nana/2022}, ee = {https://doi.org/10.1109/NaNA56854.2022.00027}, interhash = {f46136b40c057bca016fddab089d6c39}, intrahash = {f0d1741f80ed3105118997dcddf3164f}, isbn = {978-1-6654-6131-3}, keywords = {dblp}, pages = {113-118}, publisher = {IEEE}, timestamp = {2024-04-10T02:37:48.000+0200}, title = {On Rate Fairness Maximization of Vehicular Networks: A Deep Reinforcement Learning Approach.}, url = {http://dblp.uni-trier.de/db/conf/nana/nana2022.html#ZhaoGCY22}, year = 2022 }