A Replanning Algorithm for Decision Theoretic Planning: Empirical Evaluation

In this paper, we present a replanning algorithm for a utility-based, hierarchical planner, and we compare it with replanning from scratch in a resource-bounded, utility driven agent architecture. We illustrate the experimental methodology we designed and implemented to investigate the role of the two strategies and we discuss the results obtained by executing experiments according to this methodology in different domains.