%0 Conference Paper %1 conf/apnoms/ParkHH22 %A Park, Yu Min %A Hassan, Sheikh Salman %A Hong, Choong Seon %B APNOMS %D 2022 %I IEEE %K dblp %P 1-4 %T Maximizing Throughput of Aerial Base Stations via Resources-based Multi-Agent Proximal Policy Optimization: A Deep Reinforcement Learning Approach. %U http://dblp.uni-trier.de/db/conf/apnoms/apnoms2022.html#ParkHH22 %@ 978-4-885-52339-7

@inproceedings{conf/apnoms/ParkHH22, added-at = {2022-11-16T00:00:00.000+0100}, author = {Park, Yu Min and Hassan, Sheikh Salman and Hong, Choong Seon}, biburl = {https://www.bibsonomy.org/bibtex/25f3650f71edf7ab562f02620fe474ef7/dblp}, booktitle = {APNOMS}, crossref = {conf/apnoms/2022}, ee = {https://doi.org/10.23919/APNOMS56106.2022.9919980}, interhash = {3993db56f26cbafe860bd656938df1ec}, intrahash = {5f3650f71edf7ab562f02620fe474ef7}, isbn = {978-4-885-52339-7}, keywords = {dblp}, pages = {1-4}, publisher = {IEEE}, timestamp = {2024-04-09T21:03:43.000+0200}, title = {Maximizing Throughput of Aerial Base Stations via Resources-based Multi-Agent Proximal Policy Optimization: A Deep Reinforcement Learning Approach.}, url = {http://dblp.uni-trier.de/db/conf/apnoms/apnoms2022.html#ParkHH22}, year = 2022 }