%0 Journal Article %1 journals/access/LiGM22 %A Li, Xuebin %A Guo, Terry N. %A MacKenzie, Allen B. %D 2022 %J IEEE Access %K dblp %P 118747-118758 %T Multi-Agent Reinforcement Learning With Measured Difference Reward for Multi-Association in Ultra-Dense mmWave Network. %U http://dblp.uni-trier.de/db/journals/access/access10.html#LiGM22 %V 10

@article{journals/access/LiGM22, added-at = {2022-12-05T00:00:00.000+0100}, author = {Li, Xuebin and Guo, Terry N. and MacKenzie, Allen B.}, biburl = {https://www.bibsonomy.org/bibtex/2e18877376ca59c1eaed726dd193295ef/dblp}, ee = {https://doi.org/10.1109/ACCESS.2022.3221455}, interhash = {7a4807c5c74bb001b3b8d4ec449a64ae}, intrahash = {e18877376ca59c1eaed726dd193295ef}, journal = {IEEE Access}, keywords = {dblp}, pages = {118747-118758}, timestamp = {2024-04-08T14:08:42.000+0200}, title = {Multi-Agent Reinforcement Learning With Measured Difference Reward for Multi-Association in Ultra-Dense mmWave Network.}, url = {http://dblp.uni-trier.de/db/journals/access/access10.html#LiGM22}, volume = 10, year = 2022 }