Means-ends analysis is a seemingly well understood search technique, which can be described, using plan- ning terminology, as: keep adding actions that are fea ...
Mar 15, 2023 · This hierarchy is represented by agreedy regression-match graph. The actions near the leaves of this graph are feasible and relevant to a sub. .
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An algorithm to solve this problem is presented, which searches a space of plan prefixes, trying to extend one of them to a complete sequence of actions. It is ...
This thesis shows that many of the most successful advances in classical planning can be leveraged for solving compelling non-classical problems, ...
Means-ends analysis is a seemingly well understood search technique, which can be described, using planning terminology, as: keep adding actions that are ...
A heuristic estimator for means-ends analysis in planning. In Proceedings of the Third International Conference on AI Planning Systems, pages 142{149, Menlo ...
A heuristic estimator for means-ends analysis in planning. In Proceedings of the Third International Conference on AI Planning Sys- tems, pages 142{149 ...
McDermott, D.: A heuristic estimator for means-ends analysis in planning. In. Proceedings of the 3rd International Conference on Artificial Intelligence ...
a heuristic search planner with a precise heuristic function and search ... A heuristic estimator for means-ends analysis in planning. In Proc. Third ...
0 is a domain-independent planning algorithm that implements the family of heuristic search planners that are characterized by the state space that is searched ...