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.
Lightweight C++/Python Hierarchical Task Network (HTN) AI Engine
Hierarchical Task Network example in Godot
6 DOF arm manipulation, utilizing knowledge-based reasoning, BDI and HTN planning
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.
Automatic Generation of HTN Domains from VGDL Videogame Descriptions
A 3D first-person capture the flag game made with Unity in which the player must capture a treasure chest guarded by a Hierarchical Task Network (HTN) based AI.
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.
A fighting game AI: KeepAwayBot, implemented in Java using Hierarchical Task Networks and the Upper Confidence Bounds Algorithm
HTN planning including resource and temporal constraints with SHOP3. Repository for my Bachelor Thesis @FHAachen.
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