Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System

James P. Bailey, Georgios Piliouras. Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System. In Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor, editors, Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019. pages 233-241, International Foundation for Autonomous Agents and Multiagent Systems, 2019. [doi]

Abstract

Abstract is missing.