Empirical analysis of the convergence of Double DQN in relation to reward sparsity - researchr publication authors

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Samuel Blad, Martin Längkvist, Franziska Klügl, Amy Loutfi. Empirical analysis of the convergence of Double DQN in relation to reward sparsity. In M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan, editors, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. pages 591-596, IEEE, 2022. [doi]

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