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Explore game-theoretic reinforcement learning combining tree-search, generative models, and Nash bargaining concepts for multiagent scenarios and negotiation games.
Explore an iterative algorithm for solving pseudo-polynomial dynamic programs with large magnitudes, focusing on optimization techniques and practical applications.
Explore algorithmic alignment of neural networks with Petar Veličković, covering recent advancements and co-authored works in the field of neural algorithmic reasoning.
Explore node selection strategies in Branch and Bound, focusing on data-based methods and graph neural networks for efficient problem-solving in NP-hard optimization.
Explore set-covering polyhedron through tilting vectors, linking facet study to inequality tilting theory. Learn about characterizing facet-defining inequalities and efficient tilting methods.
Explore behavioral models accounting for irrational customer choices in pricing problems, challenging traditional microeconomic assumptions.
Explore innovative auction-based solutions for online retail marketplaces to reduce return shipments, increase supplier welfare, and minimize environmental impact through networked returns and demand distribution analysis.
Découvrez comment l'apprentissage machine accélère la résolution de problèmes complexes de planification d'équipages aériens grâce à deux méthodes innovantes d'optimisation assistée.
Explore dynamic pricing strategies with fairness constraints, addressing price and demand fairness. Learn algorithms for optimal regret performance in personalized pricing scenarios.
Explore strategic options for GCC countries in a zero-net emissions world, focusing on Qatar's potential transition using multi-model analysis and technology-rich scenarios.
Explore a statistical model for large spatio-temporal datasets, focusing on flood wave simulation. Learn about multi-resolution analysis and lifting schemes for efficient hydraulic modeling and urban flood hazard assessment.
Explore sustainable food system choices and perishable product logistics using operations research. Gain insights into decision-making challenges and integrated planning for agricultural products.
Explorez les jeux à champ moyen dans les systèmes multi-agents, en mettant l'accent sur les équilibres de Nash et les algorithmes d'apprentissage pour les scénarios de consensus et de dissensus.
Explore game theory through a graph-based approach, gaining new insights into evolutionary game theory and long-run outcomes of replicator dynamics.
Explore global convergence and asymptotic optimality of the heavy ball method, challenging complexity lower bounds for strongly convex functions with Lipschitz gradients.
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