Publications & Technical Reports | |
R232 | |
On the Impact of Subproblem Orderings on Anytime AND/OR Best-First Search for Lower Bounds
William Lam, Kalev Kask, Rina Dechter, and Javier Larrosa
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Abstract
Best-first search can be regarded as anytime scheme
for producing lower bounds on the optimal solution, a characteristic
that is mostly overlooked. We explore this topic in the context of
AND/OR best-first search, guided by the MBE heuristic, when solving
graphical models. In that context, the impact of the secondary
heuristic for subproblem ordering may be significant, especially in
the anytime context. Indeed, our paper illustrates this, showing that
the new concept of bucket errors can advise in providing effective
subproblem orderings in AND/OR search.
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