Cite
Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information.
MLA
He, Shuping, et al. “Reinforcement Learning and Adaptive Optimization of a Class of Markov Jump Systems with Completely Unknown Dynamic Information.” Neural Computing & Applications, vol. 32, no. 18, Sept. 2020, pp. 14311–20. EBSCOhost, https://doi.org/10.1007/s00521-019-04180-2.
APA
He, S., Zhang, M., Fang, H., Liu, F., Luan, X., & Ding, Z. (2020). Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information. Neural Computing & Applications, 32(18), 14311–14320. https://doi.org/10.1007/s00521-019-04180-2
Chicago
He, Shuping, Maoguang Zhang, Haiyang Fang, Fei Liu, Xiaoli Luan, and Zhengtao Ding. 2020. “Reinforcement Learning and Adaptive Optimization of a Class of Markov Jump Systems with Completely Unknown Dynamic Information.” Neural Computing & Applications 32 (18): 14311–20. doi:10.1007/s00521-019-04180-2.