Game-theoretic robotic offloading via multi-agent learning for agricultural applications in heterogeneous networks.

MLA

Zhu, Anqi, et al. “Game-Theoretic Robotic Offloading via Multi-Agent Learning for Agricultural Applications in Heterogeneous Networks.” Computers & Electronics in Agriculture, vol. 211, Aug. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.compag.2023.108017.

APA

Zhu, A., Zeng, Z., Guo, S., Lu, H., Ma, M., & Zhou, Z. (2023). Game-theoretic robotic offloading via multi-agent learning for agricultural applications in heterogeneous networks. Computers & Electronics in Agriculture, 211, N.PAG. https://doi.org/10.1016/j.compag.2023.108017

Chicago

Zhu, Anqi, Zhiwen Zeng, Songtao Guo, Huimin Lu, Mingfang Ma, and Zongtan Zhou. 2023. “Game-Theoretic Robotic Offloading via Multi-Agent Learning for Agricultural Applications in Heterogeneous Networks.” Computers & Electronics in Agriculture 211 (August): N.PAG. doi:10.1016/j.compag.2023.108017.