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- W3037907724 abstract "Best-first width search (BFWS) is a recent approach to satisficing planning that combines traditional heuristics with novelty measures to achieve a balance between exploration and effective search guidance (exploitation). One such novelty measure is based on counting the number of subgoals achieved on the path from a state in which a relaxed plan was computed. We introduce a new lookahead strategy for greedy best-first search based on this idea, where after each expansion, a bounded lookahead search is guided by relaxed subgoal counting. Furthermore, we combine this technique with partial delete relaxation heuristics to improve the subgoals. Using the hCFF heuristic with online-refinement of conjunctions, we obtain a planner that significantly outperforms the state of the art in satisficing planning on the IPC benchmarks." @default.
- W3037907724 created "2020-07-02" @default.
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- W3037907724 date "2020-06-01" @default.
- W3037907724 modified "2023-10-05" @default.
- W3037907724 title "A Novel Lookahead Strategy for Delete Relaxation Heuristics in Greedy Best-First Search" @default.
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- W3037907724 doi "https://doi.org/10.1609/icaps.v30i1.6652" @default.
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