QAMM: Adjoint MeanFlow Matching for Few-Step Offline Reinforcement Learning

Yuehu Gong, Shutong Ding, Mokai Pan +4

Flow policies can model rich action distributions, but their iterative sampling limits decision speed. Adjoint matching uses the critic's action gradient to improve a flow policy w…