Corpus ID: 236447523

Gradient Play in $n$-Cluster Games with Zero-Order Information

@article{Tatarenko2021GradientPI,
  title={Gradient Play in \$n\$-Cluster Games with Zero-Order Information},
  author={Tatiana Tatarenko and Jan Zimmermann and J{\"u}rgen Adamy},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12648}
}
We study a distributed approach for seeking a Nash equilibrium in n-cluster games with strictly monotone mappings. Each player within each cluster has access to the current value of her own smooth local cost function estimated by a zero-order oracle at some query point. We assume the agents to be able to communicate with their neighbors in the same cluster over some undirected graph. The goal of the agents in the cluster is to minimize their collective cost. This cost depends, however, on… Expand

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