Incentive Design for Multi-Agent Systems: A Bilevel Optimization Framework for Coordinating Independent Agents and Convergence Analysis

arXiv:2609.26726 · eess.SY, cs.SY · Submitted 2026-09-22 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Reward Function — 17× in this paper · explained in 2 episodes
• Objective Function — 14× in this paper · explained in 2 episodes
• Action Space — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Multi-Agent System — 4× in this paper · explained in 6 episodes
• AI Alignment — 3× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Distribution Shift — 1× in this paper · explained in 6 episodes
• In the Strong Stackelberg Equilibrium — 1× in this paper
• In the Weak Stackelberg Equilibrium — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• AI Alignment: A Comprehensive Survey
• A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima

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