American Psychological Association 6th edition

Shi, C., Zhang, S., Lu, W., & Song, R. (2022). Statistical inference of the value function for reinforcement learning in infinite‐horizon settings. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 84(3), 765-793. https://doi.org/10.1111/rssb.12465

ISO-690 (author-date, English)

SHI, Chengchun, ZHANG, Sheng, LU, Wenbin und SONG, Rui, 2022. Statistical inference of the value function for reinforcement learning in infinite‐horizon settings. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 1 Juli 2022. Vol. 84, no. 3, p. 765-793. DOI 10.1111/rssb.12465.

Modern Language Association 9th edition

Shi, C., S. Zhang, W. Lu, und R. Song. „Statistical Inference of the Value Function for Reinforcement Learning in infinite‐horizon Settings.“. Journal of the Royal Statistical Society: Series B (Statistical Methodology), Bd. 84, Nr. 3, Juli 2022, S. 765-93, https://doi.org/10.1111/rssb.12465.

Mohr Siebeck - Recht (Deutsch - Österreich)

Shi, Chengchun/Zhang, Sheng/Lu, Wenbin/Song, Rui: Statistical inference of the value function for reinforcement learning in infinite‐horizon settings., Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022, 765-793.

Emerald - Harvard

Shi, C., Zhang, S., Lu, W. und Song, R. (2022), „Statistical inference of the value function for reinforcement learning in infinite‐horizon settings.“, Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 84 No. 3, S. 765-793.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.