A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria

<p>In this paper we focus on noncooperative games with uncertain constraints coupling the agents&rsquo; decisions. We consider a setting where bounded deviations of agents&rsquo; decisions from the equilibrium are possible, and uncertain constraints are inferred from data. Building upo...

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Váldodahkkit: Pantazis, G, Fele, F, Margellos, K
Materiálatiipa: Journal article
Giella:English
Almmustuhtton: Elsevier 2024
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author Pantazis, G
Fele, F
Margellos, K
author_facet Pantazis, G
Fele, F
Margellos, K
author_sort Pantazis, G
collection OXFORD
description <p>In this paper we focus on noncooperative games with uncertain constraints coupling the agents&rsquo; decisions. We consider a setting where bounded deviations of agents&rsquo; decisions from the equilibrium are possible, and uncertain constraints are inferred from data. Building upon recent advances in the so called scenario approach, we propose a randomised algorithm that returns a nominal equilibrium such that a&nbsp;<em>pre-specified</em>&nbsp;bound on the probability of violation for yet unseen constraints is satisfied for an entire region of admissible deviations surrounding it&mdash;thus supporting neighbourhoods of equilibria with probabilistic feasibility certificates. For the case in which the game admits a potential function, whose minimum coincides with the social welfare optimum of the population, the proposed algorithmic scheme opens the road to achieve a trade-off between the guaranteed feasibility levels of the region surrounding the nominal equilibrium, and its system-level efficiency. Detailed numerical simulations corroborate our theoretical results.</p>
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spelling oxford-uuid:7984034d-b28e-40ce-87ee-60f3c8216f9e2024-06-04T09:52:46ZA priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibriaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7984034d-b28e-40ce-87ee-60f3c8216f9eEnglishSymplectic ElementsElsevier2024Pantazis, GFele, FMargellos, K<p>In this paper we focus on noncooperative games with uncertain constraints coupling the agents&rsquo; decisions. We consider a setting where bounded deviations of agents&rsquo; decisions from the equilibrium are possible, and uncertain constraints are inferred from data. Building upon recent advances in the so called scenario approach, we propose a randomised algorithm that returns a nominal equilibrium such that a&nbsp;<em>pre-specified</em>&nbsp;bound on the probability of violation for yet unseen constraints is satisfied for an entire region of admissible deviations surrounding it&mdash;thus supporting neighbourhoods of equilibria with probabilistic feasibility certificates. For the case in which the game admits a potential function, whose minimum coincides with the social welfare optimum of the population, the proposed algorithmic scheme opens the road to achieve a trade-off between the guaranteed feasibility levels of the region surrounding the nominal equilibrium, and its system-level efficiency. Detailed numerical simulations corroborate our theoretical results.</p>
spellingShingle Pantazis, G
Fele, F
Margellos, K
A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria
title A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria
title_full A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria
title_fullStr A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria
title_full_unstemmed A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria
title_short A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria
title_sort priori data driven robustness guarantees on strategic deviations from generalised nash equilibria
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AT pantazisg prioridatadrivenrobustnessguaranteesonstrategicdeviationsfromgeneralisednashequilibria
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