APA (7th ed.) Citation

Rangel-Martinez, D., & Ricardez-Sandoval, L. A. (2025). Recurrent Reinforcement Learning Strategy with a Parameterized Agent for Online Scheduling of a State Task Network Under Uncertainty. Industrial & engineering chemistry research, 64(13), 7126-7140. https://doi.org/10.1021/acs.iecr.4c04900

Chicago Style (17th ed.) Citation

Rangel-Martinez, Daniel, and Luis A. Ricardez-Sandoval. "Recurrent Reinforcement Learning Strategy with a Parameterized Agent for Online Scheduling of a State Task Network Under Uncertainty." Industrial & Engineering Chemistry Research 64, no. 13 (2025): 7126-7140. https://doi.org/10.1021/acs.iecr.4c04900.

MLA (9th ed.) Citation

Rangel-Martinez, Daniel, and Luis A. Ricardez-Sandoval. "Recurrent Reinforcement Learning Strategy with a Parameterized Agent for Online Scheduling of a State Task Network Under Uncertainty." Industrial & Engineering Chemistry Research, vol. 64, no. 13, 2025, pp. 7126-7140, https://doi.org/10.1021/acs.iecr.4c04900.