APA (7th ed.) Citation

Ding, Y., Zhang, J., Lee, H., Lavaei, J., Office, U. S. A. R. L. a. t. U. A. R., Research, O. o. N., . . . Initiative, U. N. (2025). Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods With Entropy Regularization. IEEE Transactions on Automatic Control ; volume 70, issue 8, page 5129-5144 ; ISSN 0018-9286 1558-2523 2334-3303. https://doi.org/10.1109/tac.2025.3540965

Chicago Style (17th ed.) Citation

Ding, Yuhao, Junzi Zhang, Hyunin Lee, Javad Lavaei, U. S. Army Research Laboratory and the U.S. Army Research Office, Office of Naval Research, Air Force Office of Scientific Research, National Science Foundation, and UC Noyce Initiative. "Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods With Entropy Regularization." IEEE Transactions on Automatic Control ; Volume 70, Issue 8, Page 5129-5144 ; ISSN 0018-9286 1558-2523 2334-3303 2025. https://doi.org/10.1109/tac.2025.3540965.

MLA (9th ed.) Citation

Ding, Yuhao, et al. "Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods With Entropy Regularization." IEEE Transactions on Automatic Control ; Volume 70, Issue 8, Page 5129-5144 ; ISSN 0018-9286 1558-2523 2334-3303, 2025, https://doi.org/10.1109/tac.2025.3540965.