Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games

Tanner Fiez, Lillian J. Ratliff, Eric Mazumdar, Evan Faulkner, Adhyyan Narang. Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 29049-29063, 2021. [doi]

@inproceedings{FiezRMFN21,
  title = {Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games},
  author = {Tanner Fiez and Lillian J. Ratliff and Eric Mazumdar and Evan Faulkner and Adhyyan Narang},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/f3507289cfdc8c9ae93f4098111a13f9-Abstract.html},
  researchr = {https://researchr.org/publication/FiezRMFN21},
  cites = {0},
  citedby = {0},
  pages = {29049-29063},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}