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Research

Our research focuses on algorithmic game theory and decision-making

in socio-economic systems, combining theoretical foundations with real-world applications.

Publications

Shapley Meets Tutte

2026

Martin Loebl

CoRR abs/2607.23106

https://arxiv.org/abs/2607.23106

Min-Max Connected Multiway Cut

2026

Petr Kolman, Hans Raj Tiwary

CoRR abs/2602.13861

https://arxiv.org/abs/2602.13861

Bond polytope under vertex- and edge-sums

2026

Petr Kolman, Hans Raj Tiwary

Journal of Combinatorial Optimization

https://link.springer.com/article/10.1007/s10878-026-01426-3

A Shapley value for games with expanded coalitions

2026

M. J. Albizuri, M. Černý, J. M. Zarzuelo

Annals of Operations Research

https://link.springer.com/article/10.1007/s10479-026-07159-0

Cooperative games with uncertainty: a survey

2026

Michel Grabisch, Silvia Lorenzini

CoRR abs/2603.00211

https://arxiv.org/abs/2603.00211

Properties of the core and other solution concepts of Bel coalitional games in the ex-ante scenario

2026

Michel Grabisch, Silvia Lorenzini

CoRR abs/2602.04817

https://arxiv.org/abs/2602.04817

On the closest balanced game

2026

Pedro Garcia Segador, Michel Grabisch, Dylan Laplace Mermoud, Pedro Miranda

CoRR abs/2601.15318

https://arxiv.org/abs/2601.15318

Approximately Envy-free and Equitable Allocations of Indivisible Items for Non-monotone Valuations

2025

Vittorio Bilò, Martin Loebl, Cosimo Vinci

The 40th Annual AAAI Conference on Artificial Intelligence

https://arxiv.org/abs/2503.05695

Market Equilibria With Buying Rights

2025

Martin Loebl, Anetta Jedličková, Jakub Černý

CoRR abs/2510.26891

https://arxiv.org/abs/2510.26891

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