A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings

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Main Authors: Alasseur, Clémence, Bayraktar, Erhan, Dumitrescu, Roxana, Jacquet, Quentin
Format: Preprint
Published: 2022
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author Alasseur, Clémence
Bayraktar, Erhan
Dumitrescu, Roxana
Jacquet, Quentin
author_facet Alasseur, Clémence
Bayraktar, Erhan
Dumitrescu, Roxana
Jacquet, Quentin
contents In this paper, we consider the problem of a Principal aiming at designing a reward function for a population of heterogeneous agents. We construct an incentive based on the ranking of the agents, so that a competition among the latter is initiated. We place ourselves in the limit setting of mean-field type interactions and prove the existence and uniqueness of the equilibrium distribution for a given reward, for which we can find an explicit representation. Focusing first on the homogeneous setting, we characterize the optimal reward function using a convex reformulation of the problem and provide an interpretation of its behaviour. We then show that this characterization still holds for a sub-class of heterogeneous populations. For the general case, we propose a convergent numerical method which fully exploits the characterization of the mean-field equilibrium. We develop a case study related to the French market of Energy Saving Certificates based on the use of realistic data, which shows that the ranking system allows to achieve the sobriety target imposed by the regulation.
format Preprint
id arxiv_https___arxiv_org_abs_2209_03588
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
Alasseur, Clémence
Bayraktar, Erhan
Dumitrescu, Roxana
Jacquet, Quentin
Optimization and Control
In this paper, we consider the problem of a Principal aiming at designing a reward function for a population of heterogeneous agents. We construct an incentive based on the ranking of the agents, so that a competition among the latter is initiated. We place ourselves in the limit setting of mean-field type interactions and prove the existence and uniqueness of the equilibrium distribution for a given reward, for which we can find an explicit representation. Focusing first on the homogeneous setting, we characterize the optimal reward function using a convex reformulation of the problem and provide an interpretation of its behaviour. We then show that this characterization still holds for a sub-class of heterogeneous populations. For the general case, we propose a convergent numerical method which fully exploits the characterization of the mean-field equilibrium. We develop a case study related to the French market of Energy Saving Certificates based on the use of realistic data, which shows that the ranking system allows to achieve the sobriety target imposed by the regulation.
title A Rank-Based Reward between a Principal and a Field of Agents: Application to Energy Savings
topic Optimization and Control
url https://arxiv.org/abs/2209.03588