Yue Zhao, José Hernández-Orallo. Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents. In Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV. Volume 13716 of Lecture Notes in Computer Science, pages 167-182, Springer, 2022. [doi]
@inproceedings{ZhaoH22-12,
title = {Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents},
author = {Yue Zhao and José Hernández-Orallo},
year = {2022},
doi = {10.1007/978-3-031-26412-2_11},
url = {https://doi.org/10.1007/978-3-031-26412-2_11},
researchr = {https://researchr.org/publication/ZhaoH22-12},
cites = {0},
citedby = {0},
pages = {167-182},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV},
editor = {Massih-Reza Amini and Stéphane Canu and Asja Fischer and Tias Guns and Petra Kralj Novak and Grigorios Tsoumakas},
volume = {13716},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-26412-2},
}