Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang 0008, Ke Tang 0001. Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. In Linqiang Pan, Dongming Zhao, Lianghao Li, Jianqing Lin, editors, Bio-Inspired Computing: Theories and Applications - 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18, 2022, Revised Selected Papers. Volume 1801 of Communications in Computer and Information Science, pages 233-247, Springer, 2022. [doi]
@inproceedings{TangLZL0022,
title = {Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding},
author = {Lan Tang and Xiaxi Li and Jinyuan Zhang and Guiying Li and Peng Yang 0008 and Ke Tang 0001},
year = {2022},
doi = {10.1007/978-981-99-1549-1_19},
url = {https://doi.org/10.1007/978-981-99-1549-1_19},
researchr = {https://researchr.org/publication/TangLZL0022},
cites = {0},
citedby = {0},
pages = {233-247},
booktitle = {Bio-Inspired Computing: Theories and Applications - 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18, 2022, Revised Selected Papers},
editor = {Linqiang Pan and Dongming Zhao and Lianghao Li and Jianqing Lin},
volume = {1801},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-981-99-1549-1},
}