Scrubbing During Learning In Real-time Heuristic Search
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, pp. 307.0-343, 2016.
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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