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- BibTeX key
- conf/kdd/LiKWLCWX21
- entry type
- inproceedings
- booktitle
- KDD
- year
- 2021
- pages
- 934-942
- publisher
- ACM
- crossref
- conf/kdd/2021
- ee
- https://doi.org/10.1145/3447548.3467420
- isbn
- 978-1-4503-8332-5
- url
- http://dblp.uni-trier.de/db/conf/kdd/kdd2021.html#LiKWLCWX21
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- please select -%0 Conference Paper
%1 conf/kdd/LiKWLCWX21
%A Li, Jiahui
%A Kuang, Kun
%A Wang, Baoxiang
%A Liu, Furui
%A Chen, Long
%A Wu, Fei
%A Xiao, Jun
%B KDD
%D 2021
%E Zhu, Feida
%E Ooi, Beng Chin
%E Miao, Chunyan
%I ACM
%K dblp
%P 934-942
%T Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning.
%U http://dblp.uni-trier.de/db/conf/kdd/kdd2021.html#LiKWLCWX21
%@ 978-1-4503-8332-5
@inproceedings{conf/kdd/LiKWLCWX21,
added-at = {2023-09-30T00:00:00.000+0200},
author = {Li, Jiahui and Kuang, Kun and Wang, Baoxiang and Liu, Furui and Chen, Long and Wu, Fei and Xiao, Jun},
biburl = {https://www.bibsonomy.org/bibtex/2e7e5e9d14d9430807b329885c2eeb18f/dblp},
booktitle = {KDD},
crossref = {conf/kdd/2021},
editor = {Zhu, Feida and Ooi, Beng Chin and Miao, Chunyan},
ee = {https://doi.org/10.1145/3447548.3467420},
interhash = {a12693e0104926dfbe8cebe3f0be785a},
intrahash = {e7e5e9d14d9430807b329885c2eeb18f},
isbn = {978-1-4503-8332-5},
keywords = {dblp},
pages = {934-942},
publisher = {ACM},
timestamp = {2024-04-09T15:56:02.000+0200},
title = {Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning.},
url = {http://dblp.uni-trier.de/db/conf/kdd/kdd2021.html#LiKWLCWX21},
year = 2021
}