Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Jianqiang Li 0001, Jianyong Chen, Zhong Ming 0001. An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning. In De-Shuang Huang, Kang-Hyun Jo, Junfeng Jing, Prashan Premaratne, Vitoantonio Bevilacqua, Abir Hussain, editors, Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part I. Volume 13393 of Lecture Notes in Computer Science, pages 41-50, Springer, 2022. [doi]
@inproceedings{WuZLLCM22,
title = {An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning},
author = {Xiaoqiang Wu and Qingling Zhu and Qiuzhen Lin and Jianqiang Li 0001 and Jianyong Chen and Zhong Ming 0001},
year = {2022},
doi = {10.1007/978-3-031-13870-6_4},
url = {https://doi.org/10.1007/978-3-031-13870-6_4},
researchr = {https://researchr.org/publication/WuZLLCM22},
cites = {0},
citedby = {0},
pages = {41-50},
booktitle = {Intelligent Computing Theories and Application - 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part I},
editor = {De-Shuang Huang and Kang-Hyun Jo and Junfeng Jing and Prashan Premaratne and Vitoantonio Bevilacqua and Abir Hussain},
volume = {13393},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-13870-6},
}