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%0 Conference Paper
%1 conf/iccsip/ZuoTHG21
%A Zuo, Guoyu
%A Tian, Zhipeng
%A Huang, Shuai
%A Gong, Daoxiong
%B ICCSIP
%D 2021
%E Sun, Fuchun
%E Hu, Dewen
%E Wermter, Stefan
%E Yang, Lei
%E Liu, Huaping
%E Fang, Bin
%I Springer
%K dblp
%P 360-373
%T Sample-Efficient Reinforcement Learning Based on Dynamics Models via Meta-policy Optimization.
%U http://dblp.uni-trier.de/db/conf/iccsip/iccsip2021.html#ZuoTHG21
%V 1515
%@ 978-981-16-9247-5
@inproceedings{conf/iccsip/ZuoTHG21,
added-at = {2023-03-11T00:00:00.000+0100},
author = {Zuo, Guoyu and Tian, Zhipeng and Huang, Shuai and Gong, Daoxiong},
biburl = {https://www.bibsonomy.org/bibtex/2a9c26f59ef3aa58dcdbcaa792d95caba/dblp},
booktitle = {ICCSIP},
crossref = {conf/iccsip/2021},
editor = {Sun, Fuchun and Hu, Dewen and Wermter, Stefan and Yang, Lei and Liu, Huaping and Fang, Bin},
ee = {https://doi.org/10.1007/978-981-16-9247-5_28},
interhash = {c12dd0dd92f340884a97511ee7c63af3},
intrahash = {a9c26f59ef3aa58dcdbcaa792d95caba},
isbn = {978-981-16-9247-5},
keywords = {dblp},
pages = {360-373},
publisher = {Springer},
series = {Communications in Computer and Information Science},
timestamp = {2024-04-09T10:42:18.000+0200},
title = {Sample-Efficient Reinforcement Learning Based on Dynamics Models via Meta-policy Optimization.},
url = {http://dblp.uni-trier.de/db/conf/iccsip/iccsip2021.html#ZuoTHG21},
volume = 1515,
year = 2021
}