This paper describes an approach to automatically learn planning operators by observing expert solution traces and to further refine the operators through practice in a learning-b...
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
- Motion planning is one of the key capabilities for autonomous humanoid robots. Previous researches have focused on weight balancing, collision detection, and gait generation. Mos...
In this paper we examine, how the benefits of Supply Chain Management, as announced by the literature and widely accepted, can simulatively be proven. We first present selected re...
PDDL2.1 supports modelling of complex temporal planning domains in which solutions must exploit concurrency. Few existing temporal planners can solve problems that require concurr...
Amanda Jane Coles, Andrew Coles, Maria Fox, Derek ...