Skip to main content

Multi-agent higher-order learning vs Nash equilibrium 

1153 Mechanical Engineering 1513 University Ave, Madison, WI, United States

The framework of multi-agent learning explores the dynamics of how individual agent strategies evolve in response to the evolving strategies of other agents. Of particular interest is whether or not agent strategies converge to well-known solution concepts such as Nash Equilibrium (NE). Most “fixed order” learning dynamics restrict an agent’s underlying state to be its...

Free