%0 Conference Paper %1 conf/cig/XuLDLWSB24 %A Xu, Linjie %A Liu, Zichuan %A Dockhorn, Alexander %A Liebana, Diego Perez %A Wang, Jinyu %A Song, Lei %A Bian, Jiang %B CoG %D 2024 %I IEEE %K dblp %P 1-8 %T Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. %U http://dblp.uni-trier.de/db/conf/cig/cog2024.html#XuLDLWSB24 %@ 979-8-3503-5067-8

@inproceedings{conf/cig/XuLDLWSB24, added-at = {2024-09-11T00:00:00.000+0200}, author = {Xu, Linjie and Liu, Zichuan and Dockhorn, Alexander and Liebana, Diego Perez and Wang, Jinyu and Song, Lei and Bian, Jiang}, biburl = {https://www.bibsonomy.org/bibtex/299dd60c68405a001e6b7efeda8cd3e26/dblp}, booktitle = {CoG}, crossref = {conf/cig/2024}, ee = {https://doi.org/10.1109/CoG60054.2024.10645658}, interhash = {5c1b9d7077724605f2d6e70ccd856329}, intrahash = {99dd60c68405a001e6b7efeda8cd3e26}, isbn = {979-8-3503-5067-8}, keywords = {dblp}, pages = {1-8}, publisher = {IEEE}, timestamp = {2024-09-16T07:07:11.000+0200}, title = {Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/conf/cig/cog2024.html#XuLDLWSB24}, year = 2024 }