Search Results - subject:"Multi-Agent Deep Reinforcement Learning"

Kaven, Lea; Huke, Philipp; Göppert, Amon; Schmitt, … - In: Journal of Intelligent Manufacturing 35 (2024) 8, pp. 3917-3936

scheduling in line-less mobile assembly systems. The proposed multi agent deep reinforcement learning algorithm uses proximal …

Persistent link: https://www.econbiz.de/10015371298

Xie, Jiaohong; Liu, Yang; Chen, Nan - In: Transportation science 57 (2023) 4, pp. 1019-1046

Persistent link: https://www.econbiz.de/10014329977

Peng, Wenhao; Wang, Dujuan; Yin, Yunqiang; Cheng, T. C. E. - In: Transportation research : an international journal 195 (2025), pp. 1-29

Persistent link: https://www.econbiz.de/10015449762

Yang, Lan; Li, Xiaolong; Fang, Shan; Cui, Yi; Hu, Zhiqiang - In: Transportation research : an international journal 198 (2025), pp. 1-21

Persistent link: https://www.econbiz.de/10015451052

Liu, Xiaotian; Hu, Ming; Peng, Yijie; Yang, Yaodong - 2022

We apply Multi-Agent Deep Reinforcement Learning (MADRL) to inventory management problems with multiple echelons and …

Persistent link: https://www.econbiz.de/10014237002

Arishi, Ali; Krishnan, Krishna K. - In: Journal of management analytics 10 (2023) 3, pp. 493-515

Persistent link: https://www.econbiz.de/10014330649

Aymanns, Christoph; Foerster, Jakob; Georg, Co-Pierre - 2017 - This draft: August 21, 2017

neighbors' past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and …

Persistent link: https://www.econbiz.de/10011906248