%0 Conference Paper %1 conf/icmla/BladLKL22 %A Blad, Samuel %A Längkvist, Martin %A Klügl, Franziska %A Loutfi, Amy %B ICMLA %D 2022 %E Wani, M. Arif %E Kantardzic, Mehmed M. %E Palade, Vasile %E Neagu, Daniel %E Yang, Longzhi %E Chan, Kit Yan %I IEEE %K dblp %P 591-596 %T Empirical analysis of the convergence of Double DQN in relation to reward sparsity. %U http://dblp.uni-trier.de/db/conf/icmla/icmla2022.html#BladLKL22 %@ 978-1-6654-6283-9

@inproceedings{conf/icmla/BladLKL22, added-at = {2023-09-30T00:00:00.000+0200}, author = {Blad, Samuel and Längkvist, Martin and Klügl, Franziska and Loutfi, Amy}, biburl = {https://www.bibsonomy.org/bibtex/2a712765fd32b0b8ac6c80481a8acf570/dblp}, booktitle = {ICMLA}, crossref = {conf/icmla/2022}, editor = {Wani, M. Arif and Kantardzic, Mehmed M. and Palade, Vasile and Neagu, Daniel and Yang, Longzhi and Chan, Kit Yan}, ee = {https://doi.org/10.1109/ICMLA55696.2022.00102}, interhash = {b1be839ea94b2000cc4e13d09a53a562}, intrahash = {a712765fd32b0b8ac6c80481a8acf570}, isbn = {978-1-6654-6283-9}, keywords = {dblp}, pages = {591-596}, publisher = {IEEE}, timestamp = {2024-04-09T11:55:45.000+0200}, title = {Empirical analysis of the convergence of Double DQN in relation to reward sparsity.}, url = {http://dblp.uni-trier.de/db/conf/icmla/icmla2022.html#BladLKL22}, year = 2022 }