Optimal Common Contract with Heterogeneous Agents
Not on the map. Why?
Abstract (arXiv)
We consider the principal-agent problem with heterogeneous agents. Previous works assume that the principal signs independent incentive contracts with every agent to make them invest more efforts on the tasks. However, in many circumstances, these contracts need to be identical for the sake of fairness. We investigate the optimal common contract problem. To our knowledge, this is the first attempt to consider this natural and important generalization. We first show this problem is NP-complete. Then we provide a dynamic programming algorithm to compute the optimal contract in O(n2m) time, where n,m are the number of agents and actions, under the assumption that the agents' cost functions obey increasing difference property. At last, we generalize the setting such that each agent can choose to directly produce a reward in [0,1]. We provide an O(log n)-approximate algorithm for this generalization.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Nov 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 2; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
4 papers.
- 2022On classification of strategic agents who can both game and improvecited by 27
- 2023Principal-Agent Reward Shaping in MDPscited by 12
- 2022Setting Fair Incentives to Maximize Improvementcited by 7
- 2026The Optimal Sample Complexity of Linear Contractscited by 0
- 2026The Optimal Sample Complexity of Linear Contracts4 Jan 2026
- 2023Principal-Agent Reward Shaping in MDPs30 Dec 2023
- 2022Setting Fair Incentives to Maximize Improvement28 Feb 2022
- 2022On classification of strategic agents who can both game and improve28 Feb 2022