We describe in this paper a new method for extracting knowledge on Hierarchical Task-Network (HTN) planning problems for speeding up the search. This knowledge is gathered by prop...
Thefocus of this workis the computationof efficient strategies for commoditytrading in a multi-marketenvironment. In today's "global economy"commodities are often b...
Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochanta...
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
In the last years, some very promising domain independent heuristic state-space planners for STRIPS worlds, like ASP/HSP, HSPr and GRT, have been presented. These planners achieve...
Casting planning problems as propositional satis ability problems has recently been shown to be an effective way of scaling up plan synthesis. Until now, the bene ts of this appro...