Path-Coupled Bellman Flows for Distributional Reinforcement Learning.

arXiv:2605.08253v3 Announce Type: replace-cross Abstract: Distributional reinforcement learning (DRL) models the full return distribution, but existing finite-support or quantile-based methods rely on projections, while recent flow-based approaches can suffer