Author:
Zhu Ruijie,Li Lulu,Wu Shuning,Lv Pei,Li Yafei,Xu Mingliang
Subject
Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software
Reference50 articles.
1. R. Ali, B. Sheng, P. Li, Y. Chen, H. Li, P. Yang, Y. Jung, J. Kim, and C.P. Chen. Optic disk and cup segmentation through fuzzy broad learning system for glaucoma screening. IEEE Trans. Ind. Informat., 17(4), 2020.
2. D. Bertsekas. Multiagent reinforcement learning: Rollout and policy iteration. IEEE/CAA J. Autom. Sinica, 8(2), 2021.
3. S. Chang-Yin and M. Chao-Xu. Important scientific problems of multi-agent deep reinforcement learning. Acta Automat. Sinica, 46(7), 2020.
4. Broad learning system: A new learning paradigm and system without going deep;Chen;Proc. Youth Acad. Annual Conf. Chinese Assoc. Auto.,2017
5. C.P. Chen and Z. Liu. Broad learning system: An effective and efficient incremental learning system without the need for deep architecture. IEEE Trans. Neural Netw. Learn. Syst., 29(1), 2017.
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