S. Koenig and R.G. Simmons. How to Make Reactive Planners Risk-Sensitive. In Proceedings of the International Conference on Artificial Intelligence Planning Systems (AIPS), pages 293-298, 1994.

Abstract: Probabilistic planners can have various planning objectives: usually they either maximize the probability of goal achievement or minimize the expected execution cost of the plan. Researchers have largely ignored the problem how to incorporate risk-sensitive attitudes into their planning mechanisms. We discuss a risk-sensitive planning approach that is based on utility theory. Our key result is that this approach can, at least for risk-seeking attitudes, be implemented with any reactive planner that maximizes (or satisfices) the probability of goal achievement. First, the risk-sensitive planning problem is transformed into a different planning problem, that is then solved by the planner. The larger the probability of goal achievement of the resulting plan, the better its expected utility is for the original (risk-sensitive) planning problem. This approach extends the functionality of reactive planners that maximize the probability of goal achievement, since it allows one to use them (unchanged) for risk-sensitive planning.

Download the paper in pdf.

Many publishers do not want authors to make their papers available electronically after the papers have been published. Please use the electronic versions provided here only if hardcopies are not yet available. If you have comments on any of these papers, please send me an email! Also, please send me your papers if we have common interests.

This page was automatically created by a bibliography maintenance system that was developed as part of an undergraduate research project, advised by Sven Koenig.