In the context of the colloquium of the Research Training Group Algorithmic Optimization, the following event will take place on

Monday, July 17, 2023
16:00 c.t.
lecture hall 10

the following lecture will take place:

Learn-and-Play: Data, Agents, and Interactions

Dr. Gabriele Dragotto, Princeton University

How should an energy company determine its optimal production schedule? How should transport authorities design transportation networks? How should graduate students from medical schools be matched with residency training? In all these contexts, decision-making is rarely an individual task; on the contrary, it often involves the mutual interaction of several self-interested decision-makers deciding by solving optimization problems. However, the agents' selfdriven behavior often conflicts with the greater societal goals; in such cases, external regulators (e.g., governments) can intervene in the agents' interaction via incentives, laws, and regulations. This talk provides a method for learning the agents' preferences from data to design prescriptive interventions that possibly improve social welfare