aig-upf/2017-planning-with-simulators
Online repository for the IJCAI 2017 paper "Purely Declarative Action Representations are Overrated: Classical Planning with Simulators"
This tool helps AI researchers develop and benchmark classical planning algorithms more effectively. It takes a problem description in Functional STRIPS (FSTRIPS) with external procedures and outputs a plan to achieve a goal. It's designed for researchers working on automated planning and AI game environments.
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Use this if you are an AI researcher experimenting with classical planning algorithms and need to incorporate complex, simulated actions into your planning models.
Not ideal if you are looking for a ready-to-use planning solution for a real-world application, as this is a research-oriented tool that requires significant technical setup.
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Language
Python
License
GPL-3.0
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Last pushed
Dec 05, 2017
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