Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents

Cite

Text

Zhao and Hernández-Orallo. "Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26412-2_11

Markdown

[Zhao and Hernández-Orallo. "Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/zhao2022ecmlpkdd-heterogeneity/) doi:10.1007/978-3-031-26412-2_11

BibTeX

@inproceedings{zhao2022ecmlpkdd-heterogeneity,
  title     = {{Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents}},
  author    = {Zhao, Yue and Hernández-Orallo, José},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {167-182},
  doi       = {10.1007/978-3-031-26412-2_11},
  url       = {https://mlanthology.org/ecmlpkdd/2022/zhao2022ecmlpkdd-heterogeneity/}
}