GPT Meets PSR

We present a case study in confronting the GPT generalpurpose planner with the challenging power supply restoration (PSR) benchmark for contingent planning. PSR is derived from a real-world problem, and the dif£culty of modeling and solving it contrasts with that of the purely arti£cial benchmarks commonly used in the literature. This confrontation leads us to improve general techniques for contingent planning, to provide a PDDL-syle encoding of PSR which we hope to see used in planning competitions, and to report the £rst results on generating optimal policies for PSR.

• Type: Conference
• Year: 2003
• Where: AIPS
• Authors: Blai Bonet, Sylvie Thiébaux
• Keywords: AIPS 2003, Artificial Intelligence, Challenging Power Supply, Contingent Planning, GPT Generalpurpose Planner