arxiv
PublishedSeptember 17, 2026 at 4:00 AM
—neutral
A Convergence Framework for Deep $V$-Learning: Error Propagation and Sharp Action-Gap Bounds
Publisher summary· verbatim
arXiv:2609.18782v1 Announce Type: new Abstract: We establish convergence bounds for deep $V$-learning with horizon $H$. The algorithm fits a scalar value function to targets from executed transitions and selects actions using a predictive model and the value function. For current observed-successor
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Originally published on arxiv ↗