%0 Journal Article %1 journals/access/GiannopoulosSKK21 %A Giannopoulos, Anastasios E. %A Spantideas, Sotirios T. %A Kapsalis, Nikolaos C. %A Karkazis, Panagiotis %A Trakadas, Panagiotis %D 2021 %J IEEE Access %K dblp %P 129358-129374 %T Deep Reinforcement Learning for Energy-Efficient Multi-Channel Transmissions in 5G Cognitive HetNets: Centralized, Decentralized and Transfer Learning Based Solutions. %U http://dblp.uni-trier.de/db/journals/access/access9.html#GiannopoulosSKK21 %V 9

@article{journals/access/GiannopoulosSKK21, added-at = {2021-10-06T00:00:00.000+0200}, author = {Giannopoulos, Anastasios E. and Spantideas, Sotirios T. and Kapsalis, Nikolaos C. and Karkazis, Panagiotis and Trakadas, Panagiotis}, biburl = {https://www.bibsonomy.org/bibtex/295938e02e361b624d7c2b9fb1fcb8ee0/dblp}, ee = {https://doi.org/10.1109/ACCESS.2021.3113501}, interhash = {597df9a55dc69b2d4bdf96147e270ad8}, intrahash = {95938e02e361b624d7c2b9fb1fcb8ee0}, journal = {IEEE Access}, keywords = {dblp}, pages = {129358-129374}, timestamp = {2024-04-08T13:55:27.000+0200}, title = {Deep Reinforcement Learning for Energy-Efficient Multi-Channel Transmissions in 5G Cognitive HetNets: Centralized, Decentralized and Transfer Learning Based Solutions.}, url = {http://dblp.uni-trier.de/db/journals/access/access9.html#GiannopoulosSKK21}, volume = 9, year = 2021 }