A Hierarchical Task Network planner utilizing LLMs like OpenAI's GPT-4 to create complex plans from natural language that can be converted into an executable form.
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Updated
Mar 7, 2024 - Python
A Hierarchical Task Network planner utilizing LLMs like OpenAI's GPT-4 to create complex plans from natural language that can be converted into an executable form.
Model that utilizes Pyhop, an A.I. planner based on the JSHOP2 algorithm, to determine whether a person needs assistance based on task progress. Currently integrated into the Computational Model of Assistance. Done during the Summer of 2019 as Research Assistant to Jason R. Wilson, post-doctorate researcher at Northwestern University.
Automatically creates a solution to a randomly-generated maze using Pyhop, a Hierarchical Task Network Planner created by Dana Nau based on the SHOP algorithm. Built for artificial intelligence research.
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