GPT Meets PSR
نویسندگان
چکیده
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.
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