Asgharnia, A., Schwartz, H., & Atia, M. (2023). Multi-objective fuzzy Q-learning to solve continuous state-action problems. Neurocomputing (Amsterdam), 516, 115-132. https://doi.org/10.1016/j.neucom.2022.10.035
Chicago Style (17th ed.) CitationAsgharnia, Amirhossein, Howard Schwartz, and Mohamed Atia. "Multi-objective Fuzzy Q-learning to Solve Continuous State-action Problems." Neurocomputing (Amsterdam) 516 (2023): 115-132. https://doi.org/10.1016/j.neucom.2022.10.035.
MLA (9th ed.) CitationAsgharnia, Amirhossein, et al. "Multi-objective Fuzzy Q-learning to Solve Continuous State-action Problems." Neurocomputing (Amsterdam), vol. 516, 2023, pp. 115-132, https://doi.org/10.1016/j.neucom.2022.10.035.
Warning: These citations may not always be 100% accurate.