Probably Approximately Correct Heuristic Search

作者: Ariel Felner , Robert Holte , Roni Stern

DOI:

关键词:

摘要: A* is a best-first search algorithm that returns an optimal solution. w-admissible algorithms guarantee the returned solution no larger than w times In this paper we introduce generalization of w-admissibility concept call PAC search, which inspired by learning framework in Machine Learning. The task to find with high probability. formally define and present for can work on top any produces sequence solutions. Experimental results 15-puzzle demonstrate our activated Anytime Weighted (AWA*) expands significantly less nodes regular AWA* while returning solutions have almost same quality.

参考文章(22)
Marco Ernandes, Marco Gori, Likely-admissible and sub-symbolic heuristics european conference on artificial intelligence. pp. 613- 617 ,(2004)
Roberto Casati, Ross P. Cameron, Louise Antony, Lucy Allais, John Bigelow, Elizabeth Barnes, Alexander Bird, John Campbell, Notes on the ,(2009)
Shahab Jabbari Arfaee, Robert C. Holte, Sandra Zilles, Bootstrap Learning of Heuristic Functions annual symposium on combinatorial search. ,(2010) , 10.7939/R3QP6J
Eric A. Hansen, Rong Zhou, Anytime heuristic search Journal of Artificial Intelligence Research. ,vol. 28, pp. 267- 297 ,(2007) , 10.1613/JAIR.2096
P. P. Chakrabarti, Sandip Aine, Rajeev Kumar, AWA*-a window constrained anytime heuristic search algorithm international joint conference on artificial intelligence. pp. 2250- 2255 ,(2007)
Malte Helmert, Gabriele Röger, How good is almost perfect national conference on artificial intelligence. pp. 944- 949 ,(2008)
Richard E. Korf, Ariel Felner, Disjoint pattern database heuristics Artificial Intelligence. ,vol. 134, pp. 9- 22 ,(2002) , 10.1016/S0004-3702(01)00092-3
Peter Hart, Nils Nilsson, Bertram Raphael, A Formal Basis for the Heuristic Determination of Minimum Cost Paths IEEE Transactions on Systems Science and Cybernetics. ,vol. 4, pp. 100- 107 ,(1968) , 10.1109/TSSC.1968.300136
Russell Greiner, Pekka Orponen, Probably approximately optimal satisficing strategies Artificial Intelligence. ,vol. 82, pp. 21- 44 ,(1996) , 10.1016/0004-3702(95)00010-0
L. G. Valiant, A theory of the learnable symposium on the theory of computing. ,vol. 27, pp. 1134- 1142 ,(1984) , 10.1145/800057.808710