This paper investigates a loosely coupled approach to planning and scheduling integration, which consists of cascading a planner and a scheduler. While other implementations of thi...
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
When searching the space of possible plans for combined planning and scheduling problems we often reach a local maximum and must either backtrack or otherwise modify the plan to m...
dimension of abstraction and specificity, and they may mix both top-level goals and subgoals when describing what they want a plan to do. We show how the Prodigy planning system h...
In this paper, we examine how the complexity of domain-independent planning with strips-style operators depends on the nature of the planning operators. We show how the time compl...