Cita APA (7a ed.)
Yijie, L., Zhongan, T., Li, Y., Baoju, L., Deng, M., & Wu, G. (2025). A Multi-Agent Deep Reinforcement Learning Method with Diversified Policies for Continuous Location of Express Delivery Stations Under Heterogeneous Scenarios. ISPRS International Journal of Geo-Information. https://doi.org/10.3390/ijgi14120461
Cita Chicago Style (17a ed.)
Yijie, Lyu, Tang Zhongan, Yalun Li, Liu Baoju, Min Deng, y Guohua Wu. "A Multi-Agent Deep Reinforcement Learning Method with Diversified Policies for Continuous Location of Express Delivery Stations Under Heterogeneous Scenarios." ISPRS International Journal of Geo-Information 2025. https://doi.org/10.3390/ijgi14120461.
Cita MLA (9a ed.)
Yijie, Lyu, et al. "A Multi-Agent Deep Reinforcement Learning Method with Diversified Policies for Continuous Location of Express Delivery Stations Under Heterogeneous Scenarios." ISPRS International Journal of Geo-Information, 2025, https://doi.org/10.3390/ijgi14120461.
Precaución: Estas citas no son 100% exactas.