%0 Journal Article %1 journals/tvt/LiZLH19 %A Li, Mingyu %A Zhao, Xiaohui %A Liang, Hui %A Hu, Fengye %D 2019 %J IEEE Trans. Veh. Technol. %K dblp %N 6 %P 5782-5793 %T Deep Reinforcement Learning Optimal Transmission Policy for Communication Systems With Energy Harvesting and Adaptive MQAM. %U http://dblp.uni-trier.de/db/journals/tvt/tvt68.html#LiZLH19 %V 68

@article{journals/tvt/LiZLH19, added-at = {2020-11-11T00:00:00.000+0100}, author = {Li, Mingyu and Zhao, Xiaohui and Liang, Hui and Hu, Fengye}, biburl = {https://www.bibsonomy.org/bibtex/28bd2d7b6c5c4fd1b3114da7652dcdd71/dblp}, ee = {https://doi.org/10.1109/TVT.2019.2911544}, interhash = {7701051106aa7091898c2416d0211458}, intrahash = {8bd2d7b6c5c4fd1b3114da7652dcdd71}, journal = {IEEE Trans. Veh. Technol.}, keywords = {dblp}, number = 6, pages = {5782-5793}, timestamp = {2020-11-12T11:34:42.000+0100}, title = {Deep Reinforcement Learning Optimal Transmission Policy for Communication Systems With Energy Harvesting and Adaptive MQAM.}, url = {http://dblp.uni-trier.de/db/journals/tvt/tvt68.html#LiZLH19}, volume = 68, year = 2019 }