Cite
Intersecting reinforcement learning and deep factor methods for optimizing locality and globality in forecasting: A review.
MLA
Sousa, João, and Roberto Henriques. “Intersecting Reinforcement Learning and Deep Factor Methods for Optimizing Locality and Globality in Forecasting: A Review.” Engineering Applications of Artificial Intelligence, vol. 133, July 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.engappai.2024.108082.
APA
Sousa, J., & Henriques, R. (2024). Intersecting reinforcement learning and deep factor methods for optimizing locality and globality in forecasting: A review. Engineering Applications of Artificial Intelligence, 133, N.PAG. https://doi.org/10.1016/j.engappai.2024.108082
Chicago
Sousa, João, and Roberto Henriques. 2024. “Intersecting Reinforcement Learning and Deep Factor Methods for Optimizing Locality and Globality in Forecasting: A Review.” Engineering Applications of Artificial Intelligence 133 (July): N.PAG. doi:10.1016/j.engappai.2024.108082.