In this paper, we show how a planner can use a modelchecking verifier to guide state space search. In our work on hard real-time, closed-loop planning, we use a modelchecker'...
Robert P. Goldman, Michael J. S. Pelican, David J....
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
There are many practical planning situations in which planners may need information from external sources during the planning process. We describe the following: T.C. Au, D. Nau, a...
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...