View Proposal
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Proposer
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Ron Petrick
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Title
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Large language models for automated planning
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Goal
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Investigate the use of large language models (LLMs) for automated planning
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Description
- This project will explore the use of large language models (LLMs, e.g., ChatGPT) for different problems in automated planning. While automated planners are good at making goal-directed plans of action under many challenging conditions, the addition of large language models could help automate parts of the planning process in terms of more efficient planning or higher quality plans by providing commonsense guidance. Some symbolic aspects of the planning problem (e.g., action specification in PDDL) could be built using such techniques. Applications of this task will be applied in planning scenarios such as robot control or human-machine interaction.
- Resources
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Background
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Good knowledge of a programming language like C++, Python, or Java
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Url
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Difficulty Level
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Moderate
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Ethical Approval
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None
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Number Of Students
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2
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Supervisor
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Ron Petrick
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Keywords
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Degrees
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Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI