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Paths to Equilibrium in Games

NeurIPS 2024 · Multi-agent systems and games › Games and equilibria · approach: Learning in Markov games · 0 citations (OpenAlex)

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Proves that every finite n-player normal-form game has the satisficing paths property: from any initial strategy profile there is a satisficing path to a Nash equilibrium, constructed by growing the set of unsatisfied players.

Problem

Whether, for a given normal-form game and initial strategy profile, a satisficing path (where satisfied best-responding players must not switch) always exists that terminates at a Nash equilibrium; this underlies convergence guarantees for satisficing-based MARL algorithms.

Approach

Construct the path by repeatedly switching strategies of unsatisfied players so that the set of unsatisfied players strictly grows (even if rewards deteriorate), until either no one is satisfied or no accessible move grows the unsatisfied set; then use a continuity/limit-point argument with fixed-game Nash equilibria on the boundary of a strategy subset to reach an equilibrium in one step.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
allow unsatisfied players to explore arbitrary strategies while satisfied players stay fixedsatisficing paths in finite normal-form games · finite n-player normal-form gamesexistence of a path to Nash equilibriumHelped
use suboptimal, potentially reward-deteriorating updates that increase the number of unsatisfied playersthe constructed satisficing path · finite n-player normal-form gamesability to reach Nash equilibrium along a satisficing pathHelped

Surprising findings

Limitations

Experimental setup

Builds on: best response dynamics regret testing win-stay lose-shift

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