Preprint
Jul 2026
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.
Umer Siddique, Peilang Li, Conor Wallace et al.
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