Qu, S.; Guo, R.; Cao, Z.; Liu, J.; Su, B.; Liu, M.
An Effective Training Method for Counterfactual Multi-Agent Policy Network Based on Differential Evolution Algorithm. Appl. Sci. 2024, 14, 8383.
https://doi.org/10.3390/app14188383
AMA Style
Qu S, Guo R, Cao Z, Liu J, Su B, Liu M.
An Effective Training Method for Counterfactual Multi-Agent Policy Network Based on Differential Evolution Algorithm. Applied Sciences. 2024; 14(18):8383.
https://doi.org/10.3390/app14188383
Chicago/Turabian Style
Qu, Shaochun, Ruiqi Guo, Zijian Cao, Jiawei Liu, Baolong Su, and Minghao Liu.
2024. "An Effective Training Method for Counterfactual Multi-Agent Policy Network Based on Differential Evolution Algorithm" Applied Sciences 14, no. 18: 8383.
https://doi.org/10.3390/app14188383
APA Style
Qu, S., Guo, R., Cao, Z., Liu, J., Su, B., & Liu, M.
(2024). An Effective Training Method for Counterfactual Multi-Agent Policy Network Based on Differential Evolution Algorithm. Applied Sciences, 14(18), 8383.
https://doi.org/10.3390/app14188383