%0 Conference Paper %1 conf/nips/ShenQLLFLW22 %A Shen, Siqi %A Qiu, Mengwei %A Liu, Jun %A Liu, Weiquan %A Fu, Yongquan %A Liu, Xinwang %A Wang, Cheng %B NeurIPS %D 2022 %E Koyejo, Sanmi %E Mohamed, S. %E Agarwal, A. %E Belgrave, Danielle %E Cho, K. %E Oh, A. %K dblp %T ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization. %U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#ShenQLLFLW22 %@ 9781713871088

@inproceedings{conf/nips/ShenQLLFLW22, added-at = {2024-01-08T00:00:00.000+0100}, author = {Shen, Siqi and Qiu, Mengwei and Liu, Jun and Liu, Weiquan and Fu, Yongquan and Liu, Xinwang and Wang, Cheng}, biburl = {https://www.bibsonomy.org/bibtex/2e3f074e9061c184016dfbd3619d86868/dblp}, booktitle = {NeurIPS}, crossref = {conf/nips/2022}, editor = {Koyejo, Sanmi and Mohamed, S. and Agarwal, A. and Belgrave, Danielle and Cho, K. and Oh, A.}, ee = {http://papers.nips.cc/paper_files/paper/2022/hash/2456a42386e445ba884511aa17ca4a30-Abstract-Conference.html}, interhash = {908160b31fa42c888810961633d1ce66}, intrahash = {e3f074e9061c184016dfbd3619d86868}, isbn = {9781713871088}, keywords = {dblp}, timestamp = {2024-04-09T23:22:16.000+0200}, title = {ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization.}, url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#ShenQLLFLW22}, year = 2022 }