%0 Journal Article %1 journals/tetci/ZhengYUGB22 %A Zheng, Changgang %A Yang, Shufan %A Ullauri, Juan Marcelo Parra %A García-Domínguez, Antonio %A Bencomo, Nelly %D 2022 %J IEEE Trans. Emerg. Top. Comput. Intell. %K dblp %N 3 %P 479-488 %T Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems. %U http://dblp.uni-trier.de/db/journals/tetci/tetci6.html#ZhengYUGB22 %V 6

@article{journals/tetci/ZhengYUGB22, added-at = {2022-06-13T00:00:00.000+0200}, author = {Zheng, Changgang and Yang, Shufan and Ullauri, Juan Marcelo Parra and García-Domínguez, Antonio and Bencomo, Nelly}, biburl = {https://www.bibsonomy.org/bibtex/275cf7612ea5e677b640582476e04a3be/dblp}, ee = {https://doi.org/10.1109/TETCI.2021.3082204}, interhash = {9169438126eb131e2126929125d98991}, intrahash = {75cf7612ea5e677b640582476e04a3be}, journal = {IEEE Trans. Emerg. Top. Comput. Intell.}, keywords = {dblp}, number = 3, pages = {479-488}, timestamp = {2024-04-08T11:07:00.000+0200}, title = {Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems.}, url = {http://dblp.uni-trier.de/db/journals/tetci/tetci6.html#ZhengYUGB22}, volume = 6, year = 2022 }