arXiv Machine Learning August 3, 2026 By Anders Jonsson, Emilie Kaufmann, Gianmarco Tedeschi, Lorenzo Steccanella

Sample Efficient Hierarchical Reinforcement Learning via Best Policy Identification

Read the original on arXiv Machine Learning →

arXiv:2607. 29294v1 Announce Type: new Abstract: We present HBPI-UCRL, a model-based algorithm for hierarchical reinforcement learning (HRL) that learns high-level and low-level policies in parallel.

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