Hedonic Games (HGs) are a classical framework modeling coalition formation of strategic agents guided by their individual preferences.

All models discussed in the paper use ReLU non-linearity.

Fréchet regression has emerged as a promising approach for regression analysis involving non-Euclidean response variables.

Machine learning (ML) models have been widely used to make predictions.

In supervised learning, the question of data quality and curation has been overshadowed in recent years by increasingly more powerful and expressive models that can ingest internet-scale data.

Recurrent Neural Networks (RNNs) are effective tools for processing sequential data.

RCM. Finally, we illustrate the power of this conciliatory perspective by pinpointing

First, note that we shall use the same MDPs defined in Appendix D.1 as follows