Oversubscription Planning as Classical Planning with Multiple Cost Functions


  • Michael Katz IBM
  • Emil Keyder Invitae
  • Dominik Winterer University of Konstanz
  • Florian Pommerening University of Basel


The aim of classical planning is to minimize the summed cost of operators among those plans that achieve a fixed set of goals. Oversubscription planning (OSP), on the other hand, seeks to maximize the utility of the set of facts achieved by a plan, while keeping the cost of the plan at or below some specified bound. Here, we investigate the use of reformulations that yield planning problems with two separate cost functions, but no utilities, for solving OSP tasks. Such reformulations have also been proposed in the context of netbenefit planning, where the planner tries to maximize the difference between the utility achieved and the cost of the plan. One of our reformulations is adapted directly from that setting, while the other is novel. In both cases, they allow for easy adaptation of existing classical planning heuristics to the OSP problem within a simple branch and bound search. We validate our approach using state of the art admissible heuristics in this framework, and report our results.




How to Cite

Katz, M., Keyder, E., Winterer, D., & Pommerening, F. (2019). Oversubscription Planning as Classical Planning with Multiple Cost Functions. Proceedings of the International Conference on Automated Planning and Scheduling, 29(1), 237-245. Retrieved from https://ojs.aaai.org/index.php/ICAPS/article/view/3482