%0 Conference Paper %1 conf/cdc/Emami0BZ23 %A Emami, Patrick %A Zhang, Xiangyu %A Biagioni, David %A Zamzam, Ahmed S. %B CDC %D 2023 %I IEEE %K dblp %P 2372-2378 %T Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. %U http://dblp.uni-trier.de/db/conf/cdc/cdc2023.html#Emami0BZ23 %@ 979-8-3503-0124-3

@inproceedings{conf/cdc/Emami0BZ23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Emami, Patrick and Zhang, Xiangyu and Biagioni, David and Zamzam, Ahmed S.}, biburl = {https://www.bibsonomy.org/bibtex/2d548e01f97a8ca6203486618ed026926/dblp}, booktitle = {CDC}, crossref = {conf/cdc/2023}, ee = {https://doi.org/10.1109/CDC49753.2023.10384223}, interhash = {88d59a7825e0ff15588f1b41e971f603}, intrahash = {d548e01f97a8ca6203486618ed026926}, isbn = {979-8-3503-0124-3}, keywords = {dblp}, pages = {2372-2378}, publisher = {IEEE}, timestamp = {2024-05-13T09:22:02.000+0200}, title = {Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/conf/cdc/cdc2023.html#Emami0BZ23}, year = 2023 }