A note on large deviations for interacting particle dynamics for finding mixed equilibria in zero-sum games. (arXiv:2206.15177v2 [stat.ML] UPDATED)

Finding equilibria points in continuous minimax games has become a key
problem within machine learning, in part due to its connection to the training
of generative adversarial networks. Because of existence and robustness issues,
recent developments have shifted from pure equilibria to focusing on mixed
equilibria points. In this note we consider a method proposed by Domingo-Enrich
et al. for finding mixed equilibria in two-layer zero-sum games. The method is
based on entropic regularisation and the two competing strategies are …

arxiv dynamics equilibria games mixed ml