Paper accepted in Neural Computing and Applications

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.

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