Corpus ID: 237532317

Learning Noisy Hedonic Games

@article{Trivedi2021LearningNH,
  title={Learning Noisy Hedonic Games},
  author={Prashant Trivedi and Nandyala Hemachandra},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.07738}
}
We consider the learning task of prediction of formation of core stable coalition structure in hedonic games based on agents’ noisy preferences. We have considered two cases: complete information (noisy preferences of all the agents are entirely known) and partial information (noisy preferences over some coalitions are only known). We introduce a noise model that probabilistically scales the valuations of coalitions. The performance metric is the probability of our prediction conditioned on all… Expand

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