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

5 March 2019

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

4 / 4 papers shown

Title
The Hamiltonian of Poly-matrix Zero-sum Games Toshihiro Ota Yuma Fujimoto AI4CE 66 0 0 19 May 2025
Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$ -Action Games Yuma Fujimoto Kaito Ariu Kenshi Abe 39 1 0 16 Feb 2024
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras MLT 53 41 0 28 Oct 2019
Introduction to Online Convex Optimization Elad Hazan OffRL 108 1,922 0 07 Sep 2019