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Home / Proceedings / Proceedings of the International Conference on Automated Planning and Scheduling, 32 / Book One

Biased Exploration for Satisficing Heuristic Search

February 1, 2023

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Authors

Ryo Kuroiwa,J. Christopher Beck

University of Toronto,University of Toronto


DOI:

10.1609/icaps.v32i1.19804


Abstract:

Satisficing heuristic search such as greedy best-first search (GBFS) suffers from local minima, regions where heuristic values are inaccurate and a good node has a worse heuristic value than other nodes. Search algorithms that incorporate exploration mechanisms in GBFS empirically reduce the search effort to solve difficult problems. Although some of these methods entirely ignore the guidance of a heuristic during their exploration phase, intuitively, a good heuristic should have some bound on its inaccuracy, and exploration mechanisms should exploit this bound. In this paper, we theoretically analyze what a good node is for satisficing heuristic search algorithms and show that the heuristic value of a good node has an upper bound if a heuristic satisfies a certain property. Then, we propose biased exploration mechanisms which select lower heuristic values with higher probabilities. In the experiments using synthetic graph search problems and classical planning benchmarks, we show that the biased exploration mechanisms can be useful. In particular, one of our methods, Softmin-Type(h), significantly outperforms other GBFS variants in classical planning and improves the performance of Type-LAMA, a state-of-the-art classical planner.

Topics: ICAPS

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HOW TO CITE:

Ryo Kuroiwa,J. Christopher Beck Biased Exploration for Satisficing Heuristic Search (2022) 213-221.

Ryo Kuroiwa,J. Christopher Beck Biased Exploration for Satisficing Heuristic Search ICAPS 2022, 213-221.

Ryo Kuroiwa,J. Christopher Beck (2022). Biased Exploration for Satisficing Heuristic Search. , 213-221.

Ryo Kuroiwa,J. Christopher Beck. Biased Exploration for Satisficing Heuristic Search. 2022 p.213-221.

Ryo Kuroiwa,J. Christopher Beck. 2022. Biased Exploration for Satisficing Heuristic Search. "". 213-221.

Ryo Kuroiwa,J. Christopher Beck. (2022) "Biased Exploration for Satisficing Heuristic Search", , p.213-221

Ryo Kuroiwa,J. Christopher Beck, "Biased Exploration for Satisficing Heuristic Search", ICAPS, p.213-221, 2022.

Ryo Kuroiwa,J. Christopher Beck. "Biased Exploration for Satisficing Heuristic Search". , 2022, p.213-221.

Ryo Kuroiwa,J. Christopher Beck. "Biased Exploration for Satisficing Heuristic Search". , (2022): 213-221.

Ryo Kuroiwa,J. Christopher Beck. Biased Exploration for Satisficing Heuristic Search. ICAPS[Internet]. 2022[cited 2023]; 213-221.


ISSN: 2334-0843


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Copyright 2022, Association for the Advancement of
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