In this paper we extend dynamic controllability of temporally-flexible plans to temporally-flexible reactive programs. We consider three reactive programming language constructs w...
Robert T. Effinger, Brian C. Williams, Gerard Kell...
It has long been recognized that users can have complex preferences on plans. Non-intrusive learning of such preferences by observing the plans executed by the user is an attracti...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
While several powerful domain-independent planners have recently been developed, no one of these clearly outperforms all the others in every known benchmark domain. We present PbP...
Alfonso Gerevini, Alessandro Saetti, Mauro Vallati
Despite the extensive development of first-principles planning in recent years, planning applications are still primarily developed using knowledge-based planners which can exploi...
Current state-of-the-art planners solve problems, easy and hard alike, by search, expanding hundreds or thousands of nodes. Yet, given the ability of people to solve easy problems...