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Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search. (arXiv:2206.00702v2 [cs.AI] UPDATED)
June 15, 2022, 1:11 a.m. | Michał Zawalski, Michał Tyrolski, Konrad Czechowski, Damian Stachura, Piotr Piękos, Tomasz Odrzygóźdź, Yuhuai Wu, &
cs.LG updates on arXiv.org arxiv.org
Complex reasoning problems contain states that vary in the computational cost
required to determine a good action plan. Taking advantage of this property, we
propose Adaptive Subgoal Search (AdaSubS), a search method that adaptively
adjusts the planning horizon. To this end, AdaSubS generates diverse sets of
subgoals at different distances. A verification mechanism is employed to filter
out unreachable subgoals swiftly and thus allowing to focus on feasible further
subgoals. In this way, AdaSubS benefits from the efficiency of planning …
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