View Proposal
-
Proposer
-
Ron Petrick
-
Title
-
Large language models for automated planning
-
Goal
-
Investigate the use of large language models (LLMs) for automated planning
-
Description
- This project will explore the use of large language models (LLMs), vision language models (VLMs), and/or foundation models 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 LLMs/VLMs can help improve or replaces parts of the planning process. Some symbolic aspects of the planning problem (e.g., action specification in PDDL) could be integrated with such techniques. The approach will be demonstrated in challenging planning tasks, such as robot control or human-machine interaction.
- Resources
-
-
Background
-
Good knowledge of a programming language like C++, Python, or Java
-
Url
-
-
Difficulty Level
-
Moderate
-
Ethical Approval
-
None
-
Number Of Students
-
2
-
Supervisor
-
Ron Petrick
-
Keywords
-
-
Degrees
-
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