%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 }