Control theoretic tools for robust decision planning

摘要: Continuous planning is emerging as the leading solution to problem of for systems with significant uncertainty. However, continuous can yield unexpected poor performance due necessary incompleteness system models used planning. In this paper, we show how ideas plan repair and discount factors be formalized, quantified, extended develop robust planners. This achieved without increasing computational complexity or requiring extensive additional modeling.