D Abstract : Multi - Objective Decision - Theoretic Planning

Decision making is hard. It often requires reasoning about uncertain environments, partial observability and action spaces that are too large to enumerate. In such tasks decisiontheoretic agents can often assist us. In most research on decision-theoretic agents, the desirability of actions and their effects is codified in a scalar reward function. However, many real-world decision problems have multiple objectives. In such cases the problem is more naturally expressed using a vectorvalued reward function, leading to a multiobjective decision problem (MODP).