Path-Coupled Bellman Flows for Distributional Reinforcement Learning

arXiv:2605.08253v2 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 from \emph{boundary mismatch} at the flow source or from \emph{high-variance}...

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