arxivstat.MLcs.LGmath.OC2026-07-08
Expressivity and Statistical Trade-offs in Diffusion Policy Learning
Viet Vu, Renyuan Xu, Jiacheng Zhang, Yufei Zhang
Diffusion-based policies have recently emerged as powerful policy parameterizations for reinforcement learning, representing state-conditioned action distributions as terminal laws of diffusion processes with parameterized drifts. This terminal-law representation has shown substa…