Delta L problem

The Delta-L problem refers to a challenge in decision theory and artificial intelligence, particularly in the context of designing agents that can make decisions in uncertain environments. It arises from the need to specify a utility function that accurately reflects the preferences of an agent when it is trying to optimize outcomes. The term "Delta-L" specifically comes from a scenario where an agent must choose actions that maximize a utility function over time, but the utility function may not be fully known or may be subject to change.