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2013
Sturtevant, Nathan R., Valenzano, Richard, Schaeffer, Jonathan
While greedy best-first search (GBFS) is a popular algorithm for solving automated planning tasks, it can exhibit poor performance if the heuristic in use mistakenly identifies a region of the search space as promising. In such cases, the way the algorithm greedily trusts the heuristic can cause...
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2013
Valenzano, Richard, Müller, Martin, Xie, Fan
Most of the satisficing planners which are based on heuristic search iteratively improve their solution quality through an anytime approach. Typically, the lowest-cost solution found so far is used to constrain the search. This avoids areas of the state space which cannot directly lead to lower...
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2008
Schaeffer, Jonathan, Sturtevant, Nathan, Holte, Robert, Anderson, Ken
Technical report TR08-05. The following report describes some techniques that generalize and attempt to improve upon the Coarse-to-Fine Dynamic Programming (CFDP) algorithm developed by Christopher Raphael. CFDP uses a hierarchy of abstraction graphs, iteratively searches to find optimal...
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Spring 2016
This thesis proposes, analyzes and tests different exploration-based techniques in Greedy Best-First Search (GBFS) for satisficing planning. First, we show the potential of exploration-based techniques by combining GBFS and random walk exploration locally. We then conduct deep analysis on how...
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1992
Technical report TR92-19. In August 1992, the first man versus machine world championship took place. The champion, Dr. Marion Tinsley, is arguably the greatest checkers player that ever lived. The challenger was the computer checkers program Chinook, a 3 year team effort from the University of...
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Simultaneously searching with multiple algorithm settings: an alternative to parameter tuning for suboptimal single-agent search
DownloadFall 2009
Many single-agent search algorithms have parameters that need to be tuned. Although settings found by offline tuning will exhibit strong average performance, properly selecting parameter settings for each problem can result in substantially reduced search effort. We consider the use of...