Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Meiyan Ding"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6867-6883 (2024)
Abstract The sample data for reinforcement learning algorithms often exhibit sparsity and instability, making the training results susceptible to falling into local optima. Mini-Max-Multi-agent Deep Deterministic Policy Gradient (M3DDPG) algorithm is
Externí odkaz:
https://doaj.org/article/5de2431771084f9a87a2a66d814c3701
Autor:
Yaozhong Zhang, Meiyan Ding, Yao Yuan, Jiandong Zhang, Qiming Yang, Guoqing Shi, Frank Jiang, Meiqu Lu
Publikováno v:
Drones, Vol 8, Iss 10, p 557 (2024)
Recently, developing multi-UAVs to cooperatively pursue a fast-moving target has become a research hotspot in the current world. Although deep reinforcement learning (DRL) has made a lot of achievements in the UAV pursuit game, there are still some p
Externí odkaz:
https://doaj.org/article/fb251bfe4fcf494f9c5e898cad8f99d0
Autor:
Meiyan Ding
Publikováno v:
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC).
The railway elementary education in China, the same as the railway industry of China, is generated when the imperialist powers spoiling the development and management rights of railways in China. Prior to the establishment of new China, such educatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fdb1c19ec77c8f15b07abdeaba1d660
https://doi.org/10.1109/aimsec.2011.6009702
https://doi.org/10.1109/aimsec.2011.6009702
Autor:
Meiyan Ding
Publikováno v:
2011 2nd International Conference on Artificial Intelligence, Management Science & Electronic Commerce (AIMSEC); 2011, p5638-5641, 4p
Autor:
Shujun Cui, Meiyan Ding
Publikováno v:
2010 3rd International Symposium on Knowledge Acquisition & Modeling (KAM); 2010, p387-390, 4p