Scrubbing During Learning In Real-time Heuristic Search

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, pp. 307.0-343, 2016.

Cited by: 11|Bibtex|Views12|DOI:https://doi.org/10.1613/jair.4908
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Real-time agent-centered heuristic search is a well-studied problem where an agent that can only reason locally about the world must travel to a goal location using bounded computation and memory at each step. Many algorithms have been proposed for this problem and theoretical results have also been derived for the worst-case performance ...More

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