[1] Nath P K, Venkatesh T. Lightpath routing and wavelength assignment for static demand in translucent optical networks[J]. Photonic Network Communications, 39, 103-119(2020).

[2] Yang Xiuqing, Chen Haiyan. Application of optical communication technique in the internet of things[J]. Chinese Optics, 7, 889-896(2014).

[3] Li Haitao. Technical approach analysis and development prospects of optical communication technology in China deep space TT&C network[J]. Infrared and Laser Engineering, 49, 20201003(2020).

[4] Yang Junbo, Yang Jiankun, Li Xiujian, et al. Choice and control of routes in crossover optical interconnection network[J]. Optics and Precision Engineering, 18, 1249-1257(2010).

[5] Sun Zhaowei, Liu Xuekui, Wu Xiande, et al. Path planning based on ant colony and genetic fusion algorithm for communication supporting spacecraft[J]. Optics and Precision Engineering, 21, 3308-3316(2013).

[6] Guo Xiuzhen, Hou Lixin, Yin Zhaotai, et al. All-optical routing control based on coherently induced high reflection band and high transmission band in a medium of cold atoms[J]. Chinese Optics, 4, 355-362(2011).

[7] Zhang Min, Xu Bo, Cai Yi, et al. Routing and wavelength assignment based on genetic algorithm in large scale WDM network[J]. Optical Communication Technology, 42, 1-4(2018).

[8] Wang Weilong, Li Yongjun, Zhao Shanghong, et al. Routing and wavelength assignment based on load balance for optical satellite network[J]. Laser & Optoelectronics Progress, 58, 0706004(2021).

[9] Shi Xiaodong, Li Yongjun, Zhao Shanghong, et al. Ant colony optimization routing and wavelength technology for software-defined satellite optical networks[J]. Infrared and Laser Engineering, 51, 20200125(2021).

[10] Martín I, Troia S, Hernández J A, et al. Machine learning based routing -and wavelength assignment in software-defined optical networks[J]. IEEE Transactions on Network and Service Management, 16, 871-883(2019).

[11] Mnih V, Kavukcuoglu K, Silver D, et al. Human level control through deep reinforcement learning.[J]. Nature, 518, 529-533(2015).

[12] Li Zhongtao. Wireless communication node coverage optimization based double deep Q-learning[J]. Electronic Technology & Software Engineering, 1-3(2021).

[13] Rao Ning, Xu Hua, Qi Zisen, et al. Communication interference resource allocation method of deep reinforcement learning based on maximum policy entropy[J]. Journal of Northwestern Polytechnical University, 39, 1077-1086(2021).

[14] Zhao Zipiao, Zhao Yongli, Ma Haoli, et al. Cost-efficient routing, modulation, wavelength and port assignment using reinforcement learning in optical transport networks[J]. Optical Fiber Technology, 64, 102571(2021).

[15] [15] Li Xin, Zhao Yongli, Li Yajie, et al. Multiobjective routing resource allocation based on reinfcement learning in optical transpt wks[C]2020 Asia Communications Photonics Conference (ACP) International Conference on Infmation Photonics Optical Communications (IPOC), 2020: 13.

[16] Chen Xiaoliang, Li Baojia, Proietti Roberto, et al. DeepRMSA: A deep reinforcement learning framework for routing, modulation and spectrum assignment in elastic optical networks[J]. Journal of Lightwave Technology, 37, 4155-4163(2019).