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
Παραπομπή σε μορφή Chicago (17η εκδ.)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, και 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.
Παραπομπή σε μορφή MLA (9th εκδ.)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.