Iterative Learning of Weighted Rule Sets for Greedy Search

  title={Iterative Learning of Weighted Rule Sets for Greedy Search},
  author={Yuehua Xu and Alan Fern and Sung Wook Yoon},
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted action-selection rules for guiding greedy search with application to automated planning. We make two primary contributions over prior work on learning for greedy search. First, we introduce weighted sets of action-selection rules as a new form of control knowledge for greedy search. Prior work has shown the utility of… CONTINUE READING

Similar Papers

Loading similar papers…