arxiv
PublishedSeptember 21, 2026 at 4:00 AM
—neutral
Deep Reinforcement Learning with Buffered Quantile Objectives
Publisher summary· verbatim
arXiv:2609.21327v1 Announce Type: cross Abstract: Quantile-based reinforcement learning provides an interpretable approach to risk-sensitive decision-making by optimizing a prescribed quantile of the cumulative-return distribution. Despite this appeal, learning under a point quantile objective is ch
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Originally published on arxiv ↗