This paper describes a challenging plan recognition problem that arises in environments in which agents engage widely in exploratory behavior, and presents new algorithms for eff...
Ya'akov Gal, Swapna Reddy, Stuart M. Shieber, Ande...
We study the complexity of sequentially-optimal classical planning, and discover new problem classes for whose such optimization is tractable. The results are based on exploiting ...
Abstract. In this paper we describe EvoCK, a new approach to the application of genetic programming (GP) to planning. This approach starts with a traditional AI planner (PRODIGY)an...
Many current heuristics for domain-independent planning, such as Bonet and Geffner's additive heuristic and Hoffmann and Nebel's FF heuristic, are based on delete relaxa...
This paper introduces a novel heuristic nmdmap method for path planning, one that is inspired by the Vomnoi diagmm concept, but easiZy applicable to geneml configurntion spaces. T...
S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, E...