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Explore a differential game framework analyzing climate policy negotiations between global north and south, examining Nash and Stackelberg equilibria outcomes and their implications for emissions control.
Explore a three-party fashion retail system balancing profit and environmental impact. Gain insights into consumer preferences, willingness-to-pay, and the effects of educational interventions on sustainable fashion choices.
Explore innovative strategies for balancing revenue and size inclusivity in fashion retail assortments. Gain insights into advanced analytics, choice modeling, and fairness measures to optimize product offerings.
Explore infinite-horizon difference games, Nash equilibrium concepts, and Pontryagin maximum principles. Examine bounded processes and asymptotical constraints using optimization tools in Banach spaces.
Explore principal-agent relationships, focusing on contractible information messages and agent-designed effort signals. Analyze equilibrium conditions and optimal signal characteristics in dynamic game theory.
Explorez les décisions interdépendantes d'assortiment, d'inventaire et de prix pour des produits substituables dans un contexte de mode, en utilisant un modèle de choix du consommateur logit imbriqué.
Explore integrated lot sizing strategies, combining production decisions with maintenance, carbon emissions, and distribution for optimized manufacturing operations.
Explorez les approches de théorie des jeux pour la gestion intelligente de l'énergie et l'approvisionnement en EPI, avec des applications concrètes pour les communautés et les systèmes de santé.
Explore game theory in resource economics: oligopoly-fringe model with exhaustible and renewable resources, analyzing market dynamics and welfare implications.
Explore fixed-parameter tractability in scheduling dependent tasks on multiple machines with release times and deadlines. Gain insights into parameterized complexity and dynamic programming approaches.
Explore stochastic tabu search for physician scheduling, including hyperparameter tuning and learning algorithms to enhance efficiency in radiotherapy centers.
Explore network interactions in large-scale socio-economic systems, focusing on random graph models, multiple equilibria, and learning dynamics in time-varying settings.
Explore network design optimization for survivable systems with bounded-length paths. Learn integer programming formulations, valid inequalities, and cutting-plane algorithms for telecommunication network applications.
Explore representation-driven option discovery in reinforcement learning, enhancing temporal abstraction and continual learning for intelligent agents.
Explore cutting-edge functional optimization techniques for reinforcement and supervised learning, with theoretical insights and practical algorithms.
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