Toward Rational Deployment of Multiple Heuristics in A
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 674-679.
Abstract
The obvious way to use several admissible heuristics in A* is to take their maximum. In this paper we aim to reduce the time spent on computing heuristics. We discuss Lazy A*, a variant of A* where heuristics are evaluated lazily: only when they are essential to a decision to be made in the A* search process. We present a new rational meta-reasoning based scheme, Rational Lazy A*, which decides whether to compute the more expensive heuristics at all, based on a myopic value of information estimate. Both methods are examined theoretically. Empirical evaluation on several domains supports the theoretical results, and shows that Lazy A* and Rational Lazy A* are state-of-the-art heuristic combination methods.
@inproceedings{ijcai2013p106,
title = {Toward Rational Deployment of Multiple Heuristics in A},
author = {Tolpin, David and Beja, Tal and Shimony, Solomon Eyal and Felner, Ariel and Karpas, Erez},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {674--679},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/106},
}
TY - CPAPER TI - Toward Rational Deployment of Multiple Heuristics in A AU - Tolpin, David AU - Beja, Tal AU - Shimony, Solomon Eyal AU - Felner, Ariel AU - Karpas, Erez T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 674 EP - 679 UR - https://ijcai.org/proceedings/2013/106 ER -Copied
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