Multi-Agent Contract Design beyond Binary Actions
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Abstract (arXiv)
We study hidden-action principal-agent problems with multiple agents. Unlike previous work, we consider a general setting in which each agent has an arbitrary number of actions, and the joint action induces outcomes according to an arbitrary distribution. We study two classes of mechanisms: a class of deterministic mechanisms that is the natural extension of single-agent contracts, in which the agents play a Nash equilibrium of the game induced by the contract, and a class of randomized mechanisms that is inspired by single-agent randomized contracts and correlated equilibria.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Feb 2024.
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025The Pseudo-Dimension of Contractscited by 3
- 2025Scalable Principal-Agent Contract Design via Gradient-Based Optimizationcited by 0
- 2026Deep Incentive Design with Differentiable Equilibrium Blockscited by 0
- 2026Deep Incentive Design with Differentiable Equilibrium Blocks8 Mar 2026
- 2025Scalable Principal-Agent Contract Design via Gradient-Based Optimization24 Oct 2025
- 2025The Pseudo-Dimension of Contracts24 Jan 2025