%0 Journal Article %1 journals/dase/TianMWP20 %A Tian, Shan %A Mo, Songsong %A Wang, Liwei %A Peng, Zhiyong %D 2020 %J Data Sci. Eng. %K dblp %N 1 %P 1-11 %T Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization. %U http://dblp.uni-trier.de/db/journals/dase/dase5.html#TianMWP20 %V 5

@article{journals/dase/TianMWP20, added-at = {2020-09-01T00:00:00.000+0200}, author = {Tian, Shan and Mo, Songsong and Wang, Liwei and Peng, Zhiyong}, biburl = {https://www.bibsonomy.org/bibtex/23ce8fc04465fcd04db5c30ebee07ecd8/dblp}, ee = {https://doi.org/10.1007/s41019-020-00117-1}, interhash = {8b81f58ae869980a5e96c1498a7b5708}, intrahash = {3ce8fc04465fcd04db5c30ebee07ecd8}, journal = {Data Sci. Eng.}, keywords = {dblp}, number = 1, pages = {1-11}, timestamp = {2020-09-09T12:11:16.000+0200}, title = {Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization.}, url = {http://dblp.uni-trier.de/db/journals/dase/dase5.html#TianMWP20}, volume = 5, year = 2020 }