Our paper, titled “Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile Robot“, has been accepted for publication in Neural Computing and Applications (NCAA) journal. The lead author of this paper, Mr. Aaron Zellner, is a recent graduate of the School of Computing at UNF.
NCAA has an impact factor of 5.102 and it’s ranked #13 among all AI publications according to Google Scholar.
