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Front-to-Front Heuristic Search for Satisficing Classical Planning
Description
<jats:p>Although symbolic bidirectional search is successful in optimal classical planning, state-of-the-art satisficing planners do not use bidirectional search. Previous bidirectional search planners for satisficing planning behaved similarly to a trivial portfolio, which independently executes forward and backward search without the desired ``meet-in-the-middle'' behavior of bidirectional search where the forward and backward search frontiers intersect at some point relatively far from the forward and backward start states. In this paper, we propose Top-to-Top Bidirectional Search (TTBS), a new bidirectional search strategy with front-to-front heuristic evaluation. We show that TTBS strongly exhibits ``meet-in-the-middle'' behavior and can solve instances solved by neither forward nor backward search on a number of domains.</jats:p>
Journal
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- Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence 4098-4105, 2020-07-01
International Joint Conferences on Artificial Intelligence Organization