Mechanisms of aligning human value systems to current goals

Determine the cognitive mechanisms by which humans align their value system to current goals and identify the specific factors that make such alignment difficult to maintain during goal-dependent reinforcement learning and outcome evaluation.

Background

The paper argues that humans can flexibly imbue novel, abstract outcomes with value according to current objectives, enabling goal-dependent reinforcement learning. However, this flexibility often incurs cognitive costs and reduced learning efficiency. While the authors propose a dynamic model involving working memory and compressed reward functions, they note that the precise processes underlying value-system alignment to goals and its maintenance are not yet fully characterized.

Clarifying these mechanisms would help explain how executive functions contribute to constructing and sustaining goal-dependent reward mappings, which directly impact learning performance and motivation in complex environments.

References

However, the precise mechanisms by which humans align their value system to current goals -- and which aspects make such alignment hard to maintain -- remain uncharted.

— Reward function compression facilitates goal-dependent reinforcement learning  (2509.06810 - Molinaro et al., 8 Sep 2025) in Introduction

We studied static checkpoints, and opening up the training dynamics, how the goal is lost while the agent learns, would let us predict when and why it arises, which we leave open for future work.

— What Happens to the Goal? Distinct Failures of Policy Alignment in Goal Misgeneralization  (2610.19731 - Barth et al., 14 Oct 2026) in Discussion and outlook, Section 5