Decision Theory

Decision theory, the study of making optimal choices under uncertainty, aims to develop frameworks for selecting actions that maximize expected utility or minimize risk. Current research emphasizes robust decision-making in complex scenarios, including multi-agent systems and situations with imperfect predictions, employing techniques like conformal decision theory and Bayesian optimization to improve decision quality and safety. These advancements are crucial for developing reliable autonomous systems and improving decision-making in various fields, from robotics and AI to healthcare and economics, by providing principled methods for handling uncertainty and optimizing outcomes.

Papers