Scalable Neural Incentive Design with Parameterized Mean-Field Approximation

Nathan Corecco, Batuhan Yardim, Vinzenz Thoma +2

Designing incentives for a multi-agent system to induce a desirable Nash equilibrium is both a crucial and challenging problem appearing in many decision-making domains, especially…