LIN, Yifan, WANG, Yuhao und ZHOU, Enlu, 2025. Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. Operations Research. 1 November 2025. Vol. 73, no. 6, p. 3010-3026. DOI 10.1287/opre.2024.0854.
Elsevier - Harvard (with titles)Lin, Y., Wang, Y., Zhou, E., 2025. Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. Operations Research 73, 3010-3026. https://doi.org/10.1287/opre.2024.0854
American Psychological Association 7th editionLin, Y., Wang, Y., & Zhou, E. (2025). Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. Operations Research, 73(6), 3010-3026. https://doi.org/10.1287/opre.2024.0854
Springer - Basic (author-date)Lin Y, Wang Y, Zhou E (2025) Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate.. Operations Research 73:3010-3026. https://doi.org/10.1287/opre.2024.0854
Juristische Zitierweise (Stüber) (Deutsch)Lin, Yifan/ Wang, Yuhao/ Zhou, Enlu, Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate., Operations Research 2025, 3010-3026.