Brandimarte, P. (2021) From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming [cd]. 1 st ed. 2021, EURO Advanced Tutorials on Operational Research. 1 st ed. 2021. Cham: Springer International Publishing. doi:10.1007/978-3-030-61867-4.
Chicago Manual of Style 17th edition (full note)Brandimarte, Paolo. From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming. Cd. EURO Advanced Tutorials on Operational Research. 1 st ed. 2021. Cham: Springer International Publishing, [2021?], Cham: Springer International Publishing, [2021?]. https://doi.org/10.1007/978-3-030-61867-4.
American Psychological Association 7th editionBrandimarte, P. (ca. 2021). From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming [Cd]. In EURO Advanced Tutorials on Operational Research (1 st ed. 2021). Springer International Publishing. https://doi.org/10.1007/978-3-030-61867-4
Modern Language Association 9th editionBrandimarte, P. „From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming“. EURO Advanced Tutorials on Operational Research, 1 st ed. 2021, cd, Springer International Publishing, 2021, https://doi.org/10.1007/978-3-030-61867-4.
ISO-690 (author-date, Deutsch)BRANDIMARTE, Paolo, 2021. From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming. 1 st ed. 2021. Cham: Springer International Publishing. ISBN 9783030618674