arxiv
PublishedJuly 22, 2026 at 4:00 AM
—neutral
S3: Stable Subgoal Selection by Constraining Uncertainty of Coarse Dynamics in Hierarchical Reinforcement Learning
Publisher summary· verbatim
arXiv:2607.19232v1 Announce Type: new Abstract: Hierarchical Reinforcement Learning (HRL) intends to separate strategic planning from primitive execution. It has been widely successful in solving long-horizon and complex tasks, where flat-RL algorithms have difficulty in learning. However, while the
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Originally published on arxiv ↗