One Action Too Many: Inapproximability of Budgeted Combinatorial Contracts

Fuente: arXiv
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Autori principali: Feldman, Michal, Gal-Tzur, Yoav, Ponitka, Tomasz, Schlesinger, Maya
Natura: Preprint
Pubblicazione: 2025
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author Feldman, Michal
Gal-Tzur, Yoav
Ponitka, Tomasz
Schlesinger, Maya
author_facet Feldman, Michal
Gal-Tzur, Yoav
Ponitka, Tomasz
Schlesinger, Maya
contents We study multi-agent contract design with combinatorial actions, under budget constraints, and for a broad class of objective functions, including profit (principal's utility), reward, and welfare. Our first result is a strong impossibility: For submodular reward functions, no randomized poly-time algorithm can approximate the optimal budget-feasible value within \textit{any finite factor}, even with demand-oracle access. This result rules out extending known constant-factor guarantees from either (i) unbudgeted settings with combinatorial actions or (ii) budgeted settings with binary actions, to their combination. The hardness is tight: It holds even when all but one agent have binary actions and the remaining agent has just one additional action. On the positive side, we show that gross substitutes rewards (a well-studied strict subclass of submodular functions) admit a deterministic poly-time $O(1)$-approximation, using only value queries. Our results thus draw the first sharp separation between budgeted and unbudgeted settings in combinatorial contracts, and identifies gross substitutes as a tractable frontier for budgeted combinatorial contracts. Finally, we present an FPTAS for additive rewards, demonstrating that arbitrary approximation is tractable under any budget. This constitutes the first FPTAS for the multi-agent combinatorial-actions setting, even in the absence of budget constraints.
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id arxiv_https___arxiv_org_abs_2511_20110
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle One Action Too Many: Inapproximability of Budgeted Combinatorial Contracts
Feldman, Michal
Gal-Tzur, Yoav
Ponitka, Tomasz
Schlesinger, Maya
Computer Science and Game Theory
We study multi-agent contract design with combinatorial actions, under budget constraints, and for a broad class of objective functions, including profit (principal's utility), reward, and welfare. Our first result is a strong impossibility: For submodular reward functions, no randomized poly-time algorithm can approximate the optimal budget-feasible value within \textit{any finite factor}, even with demand-oracle access. This result rules out extending known constant-factor guarantees from either (i) unbudgeted settings with combinatorial actions or (ii) budgeted settings with binary actions, to their combination. The hardness is tight: It holds even when all but one agent have binary actions and the remaining agent has just one additional action. On the positive side, we show that gross substitutes rewards (a well-studied strict subclass of submodular functions) admit a deterministic poly-time $O(1)$-approximation, using only value queries. Our results thus draw the first sharp separation between budgeted and unbudgeted settings in combinatorial contracts, and identifies gross substitutes as a tractable frontier for budgeted combinatorial contracts. Finally, we present an FPTAS for additive rewards, demonstrating that arbitrary approximation is tractable under any budget. This constitutes the first FPTAS for the multi-agent combinatorial-actions setting, even in the absence of budget constraints.
title One Action Too Many: Inapproximability of Budgeted Combinatorial Contracts
topic Computer Science and Game Theory
url https://arxiv.org/abs/2511.20110