Peilang Li

Inference-Time Policy Alignment for Fair Reinforcement Learning

This work formalizes inference-time fairness alignment as a policy shaping problem and proposes a multiplicative policy shaping framework that adjusts action probabilities using action-dependent welfare scores, thus requiring no modification to the base policy.