Learning equilibrium as a generalization of learning to optimize

  • Authors:
  • Dov Monderer;Moshe Tennenholtz

  • Affiliations:
  • Faculty of Industrial Engineering and Management, Technion -- Israel Institute of Technology, Haifa 32000, Israel;Faculty of Industrial Engineering and Management, Technion -- Israel Institute of Technology, Haifa 32000, Israel

  • Venue:
  • Artificial Intelligence
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

We argue that learning equilibrium is an appropriate generalization to multi-agent systems of the concept of learning to optimize in single-agent setting. We further define and discuss the concept of weak learning equilibrium.